Direkt zum Inhalt springen
Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Menu

Links

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More


Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
spezial:bib [2019/03/14 17:41]
vestner
spezial:bib [2024/03/27 11:57] (current)
Felix Wimbauer
Line 61: Line 61:
  
 @STRING{comp = {Computing}} @STRING{comp = {Computing}}
 +
 +@STRING{corl = {Conference on Robot Learning (CoRL)}}
  
 @STRING{cpam = {Communications on Pure and Applied Mathematics}} @STRING{cpam = {Communications on Pure and Applied Mathematics}}
Line 83: Line 85:
  
 @STRING{ecj = {Electronics and Communications in Japan}} @STRING{ecj = {Electronics and Communications in Japan}}
 +
 +@STRING{ecml = {European Conference on Machine Learning and Data Mining (ECML-PKDD)}}
  
 @STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern @STRING{ejde = {Proc. Energy Minimization Methods in Computer Vision and Pattern
Line 89: Line 93:
 @STRING{emmcvpr = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}} @STRING{emmcvpr = {Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)}}
  
-@STRING{esmrmb = {European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting}}+@STRING{esmrmb = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting}}
  
 @STRING{fcm = {Foundations of Computational Mathematics}} @STRING{fcm = {Foundations of Computational Mathematics}}
Line 106: Line 110:
  
 @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}} @STRING{icip = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {I}mage {P}rocessing}}
 +
 +@STRING{icml = {{I}nternational {C}onference on {M}achine {L}earning (ICML)}}
  
 @STRING{icra = {International Conference on Robotics and Automation (ICRA)}} @STRING{icra = {International Conference on Robotics and Automation (ICRA)}}
Line 127: Line 133:
 @STRING{iros = {International Conference on Intelligent Robots and Systems (IROS)}} @STRING{iros = {International Conference on Intelligent Robots and Systems (IROS)}}
  
-@STRING{isbi = {IEEE International Symposium on Biomedical Imaging (ISBI)}}+@STRING{isbi = {{IEEEInternational Symposium on Biomedical Imaging ({ISBI})}}
  
-@STRING{ismrm = {International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting}}+@STRING{ismrm = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting}}
  
 @STRING{ivc = {Image and Vision Computing}} @STRING{ivc = {Image and Vision Computing}}
Line 364: Line 370:
  
 @STRING{vmv = {Proceedings Vision, Modeling and Visualization (VMV)}} @STRING{vmv = {Proceedings Vision, Modeling and Visualization (VMV)}}
 +
 +@STRING{wacv= {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}}
  
 @STRING{BMVC = {{B}ritish {M}achine {V}ision {C}onference (BMVC)}} @STRING{BMVC = {{B}ritish {M}achine {V}ision {C}onference (BMVC)}}
Line 370: Line 378:
  
 @string{3dor = {Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR)}} @string{3dor = {Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR)}}
 +
 +@string{nipsd = {Neural Information Processing Systems Conference - NeurIPS 2021: eXplainable AI approaches for debugging and diagnosis workshop}}
  
  
Line 384: Line 394:
   doi = {10.1007/s11263-012-0568-x},   doi = {10.1007/s11263-012-0568-x},
   publisher = {Springer US},   publisher = {Springer US},
-  topic = {Shape Analysis, Recognition},+  keywords = {Shape Analysis, Recognition, Geometry Processing},
 } }
  
Line 397: Line 407:
   doi = {10.1016/j.patcog.2015.01.020},   doi = {10.1016/j.patcog.2015.01.020},
   publisher = {Elsevier},   publisher = {Elsevier},
-  topic = {Shape Analysis, Correspondence},+  keywords = {Shape Analysis, Correspondence, Geometry Processing},
 } }
  
Line 412: Line 422:
   issn = {0262-8856},   issn = {0262-8856},
   doi = {10.1016/j.imavis.2013.02.004},   doi = {10.1016/j.imavis.2013.02.004},
-  topic = {3D Reconstruction},+  keywords = {3D Reconstruction, Geometry Processing}, 
 +
 + 
 +@article{KuschkdGRC17, 
 +  author    = {G. Kuschk and 
 +               P. d'Angelo and 
 +               D. Gaudrie and 
 +               P. Reinartz and 
 +               D. Cremers}, 
 +  title     = {Spatially Regularized Fusion of Multiresolution Digital Surface Models}, 
 +  journal   = {{IEEE} Trans. Geosci. Remote. Sens.}, 
 +  volume    = {55}, 
 +  number    = {3}, 
 +  pages     = {1477--1488}, 
 +  year      = {2017}, 
 +
 + 
 +@article{CremersLV17, 
 +  author    = {D. Cremers and 
 +               L. Leal{-}Taix{\'{e}} and 
 +               R. Vidal}, 
 +  title     = {Deep Learning for Computer Vision (Dagstuhl Seminar 17391)}, 
 +  journal   = {Dagstuhl Reports}, 
 +  volume    = {7}, 
 +  number    = {9}, 
 +  pages     = {109--125}, 
 +  year      = {2017}, 
 +
 + 
 +@incollection{Cremers15, 
 +  author    = {D. Cremers}, 
 +  editor    = {O. Scherzer}, 
 +  title     = {Image Segmentation with Shape Priors: Explicit Versus Implicit Representations}, 
 +  booktitle = {Handbook of Mathematical Methods in Imaging}, 
 +  pages     = {1909--1944}, 
 +  publisher = {Springer}, 
 +  year      = {2015}, 
 +
 + 
 + 
 +@inproceedings{CosmoABTRC16, 
 +  author    = {L. Cosmo and 
 +               A. Albarelli and 
 +               F. Bergamasco and 
 +               A. Torsello and 
 +               E. Rodol{\`{a}} and 
 +               D. Cremers}, 
 +  title     = {A game-theoretical approach for joint matching of multiple feature 
 +               throughout unordered images}, 
 +  booktitle = {23rd International Conference on Pattern Recognition, {ICPR} 2016, 
 +               Canc{\'{u}}n, Mexico, December 4-8, 2016}, 
 +  pages     = {3715--3720}, 
 +  publisher = {{IEEE}}, 
 +  year      = {2016},
 } }
  
Line 429: Line 492:
   publisher = {Springer US},   publisher = {Springer US},
   topic = {3D Reconstruction, Correspondence},   topic = {3D Reconstruction, Correspondence},
-}+}t
  
 @inproceedings{moeller-et-al-iccv15, @inproceedings{moeller-et-al-iccv15,
Line 437: Line 500:
   year = {2015},   year = {2015},
   keywords = diebold,   keywords = diebold,
 +}
 +
 +@inproceedings{Benning0N0CGS17,
 +  author    = {M. Benning and
 +               M. M{\"{o}}ller and
 +               R. Z. Nossek and
 +               M. Burger and
 +               D. Cremers and
 +               G. Gilboa and
 +               C.{-}B. Sch{\"{o}}nlieb},
 +  editor    = {F. Lauze and
 +               Y. Dong and
 +               A. Dahl},
 +  title     = {Nonlinear Spectral Image Fusion},
 +  booktitle = {Scale Space and Variational Methods in Computer Vision - 6th International
 +               Conference, {SSVM} 2017, Kolding, Denmark, June 4-8, 2017, Proceedings},
 +  series    = {Lecture Notes in Computer Science},
 +  volume    = {10302},
 +  pages     = {41--53},
 +  publisher = {Springer},
 +  year      = {2017},
 } }
  
Line 448: Line 532:
  doi = {10.1007/978-3-319-18461-6_24},  doi = {10.1007/978-3-319-18461-6_24},
  note = {{<a href="https://github.com/NikolausDemmel/tvseg" target="_blank">[code]</a>}}  note = {{<a href="https://github.com/NikolausDemmel/tvseg" target="_blank">[code]</a>}}
 +}
 +
 +@InProceedings{Toker_2022_CVPR,
 +    author    = {Toker, Aysim and Kondmann, Lukas and Weber, Mark and Eisenberger, Marvin
 +    and Andres, Camero and Hu, Jingliang and Hoderlein, Ariadna and Senaras, Caglar and Davis, Timothy and Cremers, Daniel and Marchisio, Giovanni and Zhu, Xiaoxiang and Leal-Taixe, Laura},
 +    title     = {DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation},
 +    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 +    month     = {June},
 +    titleurl = {toker-et-al-cvpr22.pdf},
 +  year      = {2022}
 } }
  
Line 468: Line 562:
   journal = ijcv,   journal = ijcv,
   issuetitle = {{Special Issue on Graphical Models for Scene Understanding}},   issuetitle = {{Special Issue on Graphical Models for Scene Understanding}},
-  year = {2015},+  volume    = {117}, 
 +  number    = {3}, 
 +  pages     = {199--225}, 
 +  year      = {2016},
   publisher = {Springer US},   publisher = {Springer US},
   issn = {0920-5691},   issn = {0920-5691},
Line 557: Line 654:
   year = {2012},   year = {2012},
   titleurl = {rodola-cvpr12.pdf},   titleurl = {rodola-cvpr12.pdf},
-  topic = {Shape Analysis}+  keywords = {Shape Analysis}
 } }
  
Line 593: Line 690:
   doi={10.1109/3DIMPVT.2011.39},   doi={10.1109/3DIMPVT.2011.39},
   titleurl = {rodola-3dimpvt11-2.pdf},   titleurl = {rodola-3dimpvt11-2.pdf},
-  topic = {Shape Analysis, Recognition, Correspondence, Segmentation}+  keywords = {Shape Analysis, Recognition, Correspondence, Segmentation}
 } }
  
Line 604: Line 701:
   doi={10.1109/3DIMPVT.2011.43},   doi={10.1109/3DIMPVT.2011.43},
   titleurl = {rodola-3dimpvt11-1.pdf},   titleurl = {rodola-3dimpvt11-1.pdf},
-  topic = {Shape Analysis}+  keywords = {Shape Analysis}
 } }
  
Line 663: Line 760:
   year = {2010},   year = {2010},
   titleurl = {rodola-cvpr10.pdf},   titleurl = {rodola-cvpr10.pdf},
-  topic = {Shape Analysis, Correspondence}+  keywords = {Shape Analysis, Correspondence}
 } }
  
Line 745: Line 842:
   titleurl = {2010_sskkc_sdf.pdf},   titleurl = {2010_sskkc_sdf.pdf},
   keywords={biology}   keywords={biology}
 +}
 +
 +@inproceedings{Bender0C17,
 +  author    = {D. Bender and
 +               W. Koch and
 +               D. Cremers},
 +  title     = {Map-based drone homing using shortcuts},
 +  booktitle = {2017 {IEEE} International Conference on Multisensor Fusion and Integration
 +               for Intelligent Systems, {MFI} 2017, Daegu, Korea (South), November
 +               16-18, 2017},
 +  pages     = {505--511},
 +  publisher = {{IEEE}},
 +  year      = {2017},
 } }
  
Line 835: Line 945:
   school = {Department of Computer Science, University of Bonn, Germany},   school = {Department of Computer Science, University of Bonn, Germany},
   year = {2008},   year = {2008},
-  titleurl = {schoenemann_dissertation.pdf},+  titleurl = {schoenemann_dissertation.pdf},paper
 } }
  
Line 863: Line 973:
   month =     {September},   month =     {September},
   titleurl = {stuehmer_et_al_dagm10.pdf},   titleurl = {stuehmer_et_al_dagm10.pdf},
-  keywords = {3d-reconstruction, rgb-d, dense, monocular, slam},+  keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam},
   topic = {3D Reconstruction}   topic = {3D Reconstruction}
 } }
Line 874: Line 984:
   address =   {Heraklion, Greece},   address =   {Heraklion, Greece},
   month =     {September},   month =     {September},
-  keywords = {3d-reconstruction, rgb-d, dense, monocular, slam},+  keywords = {3d-reconstruction, rgb-d, dense, monocular, slam, vslam},
   topic = {3D Reconstruction}   topic = {3D Reconstruction}
 } }
Line 1183: Line 1293:
  
 @InProceedings{Pock2007_Registration, @InProceedings{Pock2007_Registration,
-  author =       {T. Pock and M. Urschler and C. Zach and  R. Beichel and H. Bischof},+  author =       {T. Pock and paperM. Urschler and C. Zach and  R. Beichel and H. Bischof},
   title =        {A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration},   title =        {A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration},
   OPTcrossref =  {},   OPTcrossref =  {},
Line 1247: Line 1357:
   title =        {Algorithmic Differentiation: Application to Variational Problems in Computer Vision},   title =        {Algorithmic Differentiation: Application to Variational Problems in Computer Vision},
   journal =      pami,   journal =      pami,
-  year =         {2007},+  year =         {2007},paper
   OPTkey =       {},   OPTkey =       {},
   volume =    {29},   volume =    {29},
Line 1274: Line 1384:
   OPTpublisher = {},   OPTpublisher = {},
   OPTnote =      {},   OPTnote =      {},
-  OPTannote =    {},+  OPTannote =    {},paper
   titleurl = {ad2008.pdf}   titleurl = {ad2008.pdf}
 } }
Line 1296: Line 1406:
   OPTpublisher = {},   OPTpublisher = {},
   OPTnote =      {},   OPTnote =      {},
-  OPTannote =    {},+  OPTannote =    {},paper
   titleurl = {cvww08seg.pdf}   titleurl = {cvww08seg.pdf}
 } }
Line 1533: Line 1643:
 @inproceedings{Kleinschmidt-et-al-08, @inproceedings{Kleinschmidt-et-al-08,
   author = {O. Kleinschmidt and T. Brox and D. Cremers},   author = {O. Kleinschmidt and T. Brox and D. Cremers},
-  title = {Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures},+  title = {Nonlocal texpaperture filtering with efficient tree structures and invariant patch similarity measures},
   booktitle = {Int. Workshop on Local and Nonlocal Approximation},   booktitle = {Int. Workshop on Local and Nonlocal Approximation},
   month = aug,   month = aug,
Line 2873: Line 2983:
   booktitle = {Algebraic {F}rames for the {P}erception-{A}ction {C}ycle},   booktitle = {Algebraic {F}rames for the {P}erception-{A}ction {C}ycle},
   year = {2000},   year = {2000},
-  editor = {C. Sommer and Y.Y. Zeevi},+  editor = {G. Sommer and Y.Y. Zeevi},
   volume = {1888},   volume = {1888},
   series = lncs,   series = lncs,
Line 3464: Line 3574:
 } }
  
 +
 +@article{DBLP:journals/pami/ManinisCCPLCG19,
 +  author    = {K.-K. Maninis and
 +               S. Caelles and
 +               Y. Chen and
 +               J. Pont{-}Tuset and
 +               L. Leal{-}Taix{\'{e}} and
 +               D. Cremers and
 +               L. Van Gool},
 +  title     = {Video Object Segmentation without Temporal Information},
 +  journal   = {{IEEE} Trans. Pattern Anal. Mach. Intell.},
 +  volume    = {41},
 +  number    = {6},
 +  pages     = {1515--1530},
 +  year      = {2019},
 +  url       = {https://doi.org/10.1109/TPAMI.2018.2838670},
 +  doi       = {10.1109/TPAMI.2018.2838670},
 +  timestamp = {Sat, 30 May 2020 01:00:00 +0200},
 +  biburl    = {https://dblp.org/rec/journals/pami/ManinisCCPLCG19.bib},
 +  bibsource = {dblp computer science bibliography, https://dblp.org}
 +}
  
 @INPROCEEDINGS{GM04:STI, @INPROCEEDINGS{GM04:STI,
Line 3713: Line 3844:
  year = {2009},  year = {2009},
  address = {Jena, Germany},  address = {Jena, Germany},
 + keywords = {optical-flow},
 titleurl = {mitzel_et_al_dagm09.pdf} titleurl = {mitzel_et_al_dagm09.pdf}
 } }
Line 3943: Line 4075:
   address = {Germany},   address = {Germany},
   month = jul,   month = jul,
 +  keywords = {optical-flow},
   titleurl = {nieuwenhuis_PhDThesis.pdf},   titleurl = {nieuwenhuis_PhDThesis.pdf},
 } }
Line 4349: Line 4482:
         YEAR = "2011",         YEAR = "2011",
         MONTH = "April",         MONTH = "April",
-        keywords="rgb-d,rgb-d benchmark",+        keywords="rgb-d,rgb-d benchmark,vslam",
         titleurl="http://youtu.be/XejNctt2Fcs",         titleurl="http://youtu.be/XejNctt2Fcs",
         titleurl="http://youtu.be/5qrBEPfEPaY",         titleurl="http://youtu.be/5qrBEPfEPaY",
Line 4363: Line 4496:
         YEAR = "2011",         YEAR = "2011",
         MONTH = "June",         MONTH = "June",
-        keywords="rgb-d,rgb-d benchmark",+        keywords="rgb-d,rgb-d benchmark,vslam",
         titleurl="sturm_et_al_rss11-talk.pdf",         titleurl="sturm_et_al_rss11-talk.pdf",
 } }
Line 4444: Line 4577:
 pages ={1449--1462}, pages ={1449--1462},
 topic={optical flow}, topic={optical flow},
-keywords = {optical flow},+keywords = {optical flow,optical-flow},
   titleurl = {kybic_nieuwenhuis.pdf}   titleurl = {kybic_nieuwenhuis.pdf}
 } }
Line 4487: Line 4620:
 booktitle={Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV)}, booktitle={Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV)},
 year={2011}, year={2011},
-keywords={dense visual odometry,rgb-d,rgb-d benchmark}+keywords={dense visual odometry,rgb-d,rgb-d benchmark,vo,vslam}
 } }
  
Line 4547: Line 4680:
 month={May}, month={May},
 year={2012}, year={2012},
-keywords="rgb-d,rgb-d benchmark,sturmselection",+keywords="rgb-d,rgb-d benchmark,sturmselection,vslam",
 } }
  
Line 4616: Line 4749:
   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},   booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
   address = {Prag, Czech Republic},   address = {Prag, Czech Republic},
 +  keywords = {optical-flow},
   titleurl = {2011_SKC_ICASSP.pdf}   titleurl = {2011_SKC_ICASSP.pdf}
 } }
Line 4675: Line 4809:
   volume = {60},   volume = {60},
   pages = {270--278}   pages = {270--278}
 +  keywords = {vslam},
 } }
  
Line 4759: Line 4894:
  Number = {1},  Number = {1},
  Title = {Car detection by fusion of HOG and causal MRF},  Title = {Car detection by fusion of HOG and causal MRF},
- Volume = {51},+   volume    = {51}, 
 +  number    = {1}, 
 +  pages     = {575--590},
  Year = {2015},  Year = {2015},
-        pages = "575-590"+
 + 
 +@inproceedings{HenschelLCR18, 
 +  author    = {R. Henschel and 
 +               L. Leal{-}Taix{\'{e}} and 
 +               D. Cremers and 
 +               B. Rosenhahn}, 
 +  title     = {Fusion of Head and Full-Body Detectors for Multi-Object Tracking}, 
 +  booktitle = {2018 {IEEE} Conference on Computer Vision and Pattern Recognition 
 +               Workshops, {CVPR} Workshops 2018, Salt Lake City, UT, USA, June 18-22, 
 +               2018}, 
 +  pages     {1428--1437}, 
 +  publisher = {{IEEE} Computer Society}, 
 +  year      = {2018},
 } }
  
Line 4849: Line 4999:
  year = "2012",  year = "2012",
  month= "Oct.",  month= "Oct.",
-        keywords="quadrocopter,ardrone,sturmselection",+        keywords="quadrocopter,ardrone,sturmselection,vslam",
 } }
  
Line 4858: Line 5008:
  year = "2012",  year = "2012",
  month= "Oct.",  month= "Oct.",
-        keywords="rgb-d,rgb-d benchmark,sturmselection",+        keywords="rgb-d,rgb-d benchmark,sturmselection,dataset,vslam",
 } }
  
Line 4867: Line 5017:
  year = "2012",  year = "2012",
  month= "Oct.",  month= "Oct.",
-        keywords="quadrocopter, ardrone",+        keywords="quadrocopter, ardrone,inertial,vslam",
 } }
  
Line 4895: Line 5045:
  year = "2012",  year = "2012",
  month= "Oct.",  month= "Oct.",
-        keywords="rgb-d,rgb-d benchmark",+        keywords="rgb-d,rgb-d benchmark,dataset,vo,vslam",
 } }
  
Line 4905: Line 5055:
     year         {2011},     year         {2011},
     month         {Dec.},     month         {Dec.},
-    keywords={quadrocopter, ardrone},+    keywords={quadrocopter, ardrone, vslam},
     award = {Distinguished with the SIEMENS award for best Master's Thesis 2012}     award = {Distinguished with the SIEMENS award for best Master's Thesis 2012}
 } }
Line 4911: Line 5061:
 @inproceedings{Sprenger-et-al-ismrm14, @inproceedings{Sprenger-et-al-ismrm14,
   author = {T. Sprenger and J.I. Sperl and B. Fernandez and V. Golkov and E.T. Tan and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},   author = {T. Sprenger and J.I. Sperl and B. Fernandez and V. Golkov and E.T. Tan and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
-  title = {Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated DSI Yielding Superior Image Quality}, +  title = {Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated {DSIYielding Superior Image Quality}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2014,   year = 2014,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}
Line 4920: Line 5070:
   author = {J.I. Sperl and T. Sprenger and E.T. Tan and V. Golkov and M.I. Menzel and C.J. Hardy and L. Marinelli},   author = {J.I. Sperl and T. Sprenger and E.T. Tan and V. Golkov and M.I. Menzel and C.J. Hardy and L. Marinelli},
   title = {Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging},   title = {Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging},
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2014,   year = 2014,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total variation}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total variation}
Line 4928: Line 5078:
   author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},   author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},
   title = {Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization},   title = {Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization},
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2014,   year = 2014,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing, total generalized variation, primal-dual}
Line 4935: Line 5085:
 @inproceedings{Golkov-et-al-ismrm14-semi-joint, @inproceedings{Golkov-et-al-ismrm14-semi-joint,
   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Haase and D. Cremers and J.I. Sperl},   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Haase and D. Cremers and J.I. Sperl},
-  title = {Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images}, +  title = {Semi-Joint Reconstruction for Diffusion {MRIDenoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2014,   year = 2014,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}
 +}
 +
 +@inproceedings{sommer18joint,
 +  author    = {C. Sommer and
 +               D. Cremers},
 +  title     = {Joint Representation of Primitive and Non-primitive Objects for 3D
 +               Vision},
 +  booktitle = {2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy,
 +               September 5-8, 2018},
 +  pages     = {160--169},
 +  publisher = {{IEEE} Computer Society},
 +  doi = {10.1109/3DV.2018.00028},
 +  year      = {2018},
 +  keywords = {Geometry Processing, SLAM}
 } }
  
 @inproceedings{Golkov-et-al-ohbm14, @inproceedings{Golkov-et-al-ohbm14,
   author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},   author = {V. Golkov and M.I. Menzel and T. Sprenger and M. Souiai and A. Haase and D. Cremers and J.I. Sperl},
-  title = {Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing},+  title = {Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using {6-DCompressed Sensing},
   booktitle = ohbm,   booktitle = ohbm,
   year = 2014,   year = 2014,
Line 4951: Line 5115:
 @incollection{Golkov-et-al-cdmri14, @incollection{Golkov-et-al-cdmri14,
   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},   author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers},
-  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate}, +  title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate}, 
-  booktitle = {Computational Diffusion MRI}, +  booktitle = {Computational Diffusion {MRI}}, 
   publisher = {Springer},   publisher = {Springer},
   year = {2014},   year = {2014},
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, total generalized variation, super-resolution, primal-dual},   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, total generalized variation, super-resolution, primal-dual},
-  award = {Book Chapter, and Oral Presentation at {MICCAI} 2014 Workshop on Computational Diffusion MRI}+  award = {Book Chapter, and Oral Presentation at {MICCAI} 2014 Workshop on Computational Diffusion {MRI}}
  
  
 @inproceedings{Golkov-et-al-esmrmb13-comparison, @inproceedings{Golkov-et-al-esmrmb13-comparison,
   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl},
-  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation}, +  title = {Effects of Low-Rank Constraints, Line-Process Denoising, and {q}-Space Compressed Sensing on Diffusion {MRImage Reconstruction and Kurtosis Tensor Estimation}, 
-  booktitle = esmrmb,+  booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
Line 4970: Line 5134:
 @inproceedings{Golkov-et-al-esmrmb13-iic-nnc, @inproceedings{Golkov-et-al-esmrmb13-iic-nnc,
   author = {V. Golkov and T. Sprenger and M.I. Menzel and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and M.I. Menzel and D. Cremers and J.I. Sperl},
-  title = {Line-Process-Based Joint SENSE Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction}, +  title = {Line-Process-Based Joint {SENSEReconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction}, 
-  booktitle = esmrmb,+  booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging},
Line 4979: Line 5143:
 @inproceedings{Golkov-et-al-dsismrm13, @inproceedings{Golkov-et-al-dsismrm13,
   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},
-  title = {Reconstruction, Regularization, and Quality in Diffusion MRI Using the Example of Accelerated Diffusion Spectrum Imaging}, +  title = {Reconstruction, Regularization, and Quality in Diffusion {MRIUsing the Example of Accelerated Diffusion Spectrum Imaging}, 
-  booktitle = {16th Annual Meeting of the German Chapter of the ISMRM},+  booktitle = {16th Annual Meeting of the German Chapter of the {ISMRM}},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing},
Line 4988: Line 5152:
 @inproceedings{Golkov-et-al-podstrana13, @inproceedings{Golkov-et-al-podstrana13,
   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},   author = {V. Golkov and M.I. Menzel and T. Sprenger and A. Menini and D. Cremers and J.I. Sperl},
-  title = {Corrected Joint SENSE Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation},+  title = {Corrected Joint {SENSEReconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation},
   booktitle = {{ISMRM} Workshop on Diffusion as a Probe of Neural Tissue Microstructure},   booktitle = {{ISMRM} Workshop on Diffusion as a Probe of Neural Tissue Microstructure},
   year = 2013,   year = 2013,
Line 4996: Line 5160:
 @inproceedings{Sprenger-et-al-ismrm13, @inproceedings{Sprenger-et-al-ismrm13,
   author = {T. Sprenger and B. Fernandez and J.I. Sperl and V. Golkov and M. Bach and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},   author = {T. Sprenger and B. Fernandez and J.I. Sperl and V. Golkov and M. Bach and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
-  title = {SNR-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom}, +  title = {{SNR}-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}
Line 5005: Line 5169:
   author = {J.I. Sperl and E.T. Tan and T. Sprenger and V. Golkov and K.F. King and C.J. Hardy and L. Marinelli and M.I. Menzel},   author = {J.I. Sperl and E.T. Tan and T. Sprenger and V. Golkov and K.F. King and C.J. Hardy and L. Marinelli and M.I. Menzel},
   title = {Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution},   title = {Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution},
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}
Line 5012: Line 5176:
 @inproceedings{Golkov-et-al-ismrm13, @inproceedings{Golkov-et-al-ismrm13,
   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},   author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl},
-  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing}, +  title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of {SENSEReconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2013,   year = 2013,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}
Line 5020: Line 5184:
 @inproceedings{Sprenger-et-al-esmrmb12, @inproceedings{Sprenger-et-al-esmrmb12,
   author = {T. Sprenger and B. Fernandez and M. Bach and J.I. Sperl and V. Golkov and E.T. Tan and L. Marinelli and K.F. King and C.J. Hardy and Q. Zhu and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},   author = {T. Sprenger and B. Fernandez and M. Bach and J.I. Sperl and V. Golkov and E.T. Tan and L. Marinelli and K.F. King and C.J. Hardy and Q. Zhu and M. Czisch and P. Sämann and A. Haase and M.I. Menzel},
-  title = {Evaluation of DSI Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom}, +  title = {Evaluation of {DSIImaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom}, 
-  booktitle = esmrmb,+  booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
   year = 2012,   year = 2012,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging, compressed sensing}
Line 5029: Line 5193:
   author = {V. Golkov and J.I. Sperl and T. Sprenger and H.-J. Bungartz and M. Sedlacek and E.T. Tan and L. Marinelli and C.J. Hardy and K.F. King and M.I. Menzel},   author = {V. Golkov and J.I. Sperl and T. Sprenger and H.-J. Bungartz and M. Sedlacek and E.T. Tan and L. Marinelli and C.J. Hardy and K.F. King and M.I. Menzel},
   title = {Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework},   title = {Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework},
-  booktitle = esmrmb,+  booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
   year = 2012,   year = 2012,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}
Line 5115: Line 5279:
     year         {2012},     year         {2012},
     month         {Nov.},     month         {Nov.},
-    keywords={quadrocopter,dense visual odometry,rgb-d,rgb-d benchmark}+    keywords={quadrocopter,dense visual odometry,rgb-d,rgb-d benchmark,vo,vslam}
 } }
  
Line 5124: Line 5288:
 year={2012}, year={2012},
 month={June}, month={June},
-keywords={quadrocopter,sturmselection},+keywords={quadrocopter,sturmselection,vslam},
 award={Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012} award={Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012}
 } }
Line 5134: Line 5298:
 year={2013}, year={2013},
 month={June}, month={June},
-keywords={quadrocopter},+keywords={quadrocopter,vslam},
 award={Distinguished with the TUM TeachInf Award for the best lecture in summer term 2013} award={Distinguished with the TUM TeachInf Award for the best lecture in summer term 2013}
 } }
Line 5146: Line 5310:
  
     award = {Best Vision Paper Award - Finalist},     award = {Best Vision Paper Award - Finalist},
-    keywords={dense visual odometry,rgb-d,rgb-d benchmark,sturmselection},+    keywords={dense visual odometry,rgb-d,rgb-d benchmark,sturmselection,vo,vslam},
 } }
  
Line 5327: Line 5491:
 @InProceedings{triebel07collective, @InProceedings{triebel07collective,
   author = {R. Triebel and Ó. Martínez Mozos and W. Burgard},   author = {R. Triebel and Ó. Martínez Mozos and W. Burgard},
-  title = {Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data},+  title = {Collective Classification for Labeling of Places and Objects in {2D and 3DRange Data},
   booktitle = {Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications},   booktitle = {Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications},
   year = 2007}   year = 2007}
Line 5359: Line 5523:
 @InProceedings{triebel07instance, @InProceedings{triebel07instance,
   author = {R. Triebel and R. Schmidt and Ó. Martínez Mozos and W. Burgard},   author = {R. Triebel and R. Schmidt and Ó. Martínez Mozos and W. Burgard},
-  title = {Instance-based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data},+  title = {Instance-based AMN Classification for Improved Object Recognition in {2D and 3DLaser Range Data},
   booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)},   booktitle = {Proc. of the International Joint Conference on Artificial Intelligence (IJCAI)},
   year = 2007}   year = 2007}
Line 5410: Line 5574:
   title = {Event-based 3D SLAM with a depth-augmented dynamic vision sensor},   title = {Event-based 3D SLAM with a depth-augmented dynamic vision sensor},
   booktitle = icra,   booktitle = icra,
 +  keywords={vslam},
    year = 2014}    year = 2014}
  
Line 5449: Line 5614:
  year = "2013",  year = "2013",
  month = "June",  month = "June",
-    keywords={rgb-d,rgb-d benchmark,sturmselection}+    keywords={rgb-d,rgb-d benchmark,sturmselection,vslam}
 } }
  
Line 5458: Line 5623:
  year = "2013",  year = "2013",
  month = "June",  month = "June",
-    keywords={rgb-d,rgb-d benchmark}+    keywords={rgb-d,rgb-d benchmark,vslam}
 } }
  
Line 5525: Line 5690:
   booktitle = {Proc. of the Int. Conf. on Intelligent Robot Systems (IROS)},   booktitle = {Proc. of the Int. Conf. on Intelligent Robot Systems (IROS)},
   year =      2013,   year =      2013,
-  keywords={dense visual odometry,dense visual slam,rgb-d,rgb-d benchmark}+  keywords={dense visual odometry,dense visual slam,rgb-d,rgb-d benchmark,vslam}
 } }
  
Line 5558: Line 5723:
   pages = "177-187",   pages = "177-187",
   year = 2013,   year = 2013,
 +  keywords={vslam},
 } }
  
Line 5568: Line 5734:
 month={September}, month={September},
  BOOKTITLE = "Unmanned Aerial Vehicle in Geomatics (UAV-g)",  BOOKTITLE = "Unmanned Aerial Vehicle in Geomatics (UAV-g)",
-    keywords={rgb-d,rgb-d benchmark,quadrocopter}+    keywords={rgb-d,rgb-d benchmark,quadrocopter,vslam}
 } }
  
Line 5617: Line 5783:
 month={December}, month={December},
 booktitle = iccv, booktitle = iccv,
-keywords={rgb-d, visual odometry, monocular, slam, semidense}+keywords={rgb-d, visual odometry, monocular, slam, semidense, vslam}
 } }
  
Line 5679: Line 5845:
   publisher = {Springer},   publisher = {Springer},
   year = 2013   year = 2013
 +}
 +
 +@inproceedings{KuschkBC17,
 +  author    = {G. Kuschk and
 +               A. Bozic and
 +               D. Cremers},
 +  title     = {Real-time variational stereo reconstruction with applications to large-scale
 +               dense {SLAM}},
 +  booktitle = {{IEEE} Intelligent Vehicles Symposium, {IV} 2017, Los Angeles, CA,
 +               USA, June 11-14, 2017},
 +  pages     = {1348--1355},
 +  publisher = {{IEEE}},
 +  year      = {2017},
 +  keywords  = {vslam},
 } }
  
Line 5699: Line 5879:
     year         {2013},     year         {2013},
     month         {September},     month         {September},
-    keywords={rgb-d,rgb-d benchmark,student-project}+    keywords={rgb-d,rgb-d benchmark,student-project,vslam}
 } }
  
Line 5709: Line 5889:
  year    = {2008},  year    = {2008},
  month   = Jun  month   = Jun
 +}
 +
 +@article{DuranMSC16,
 +  author    = {J. Duran and
 +               M. M{\"{o}}ller and
 +               C. Sbert and
 +               D. Cremers},
 +  title     = {On the Implementation of Collaborative {TV} Regularization: Application
 +               to Cartoon+Texture Decomposition},
 +  journal   = {{IPOL} Journal},
 +  volume    = {6},
 +  pages     = {27--74},
 +  year      = {2016},
 +}
 +
 +@article{DuranMSC16,
 +  author    = {J. Duran and
 +               M. M{\"{o}}ller and
 +               C. Sbert and
 +               D. Cremers},
 +  title     = {Collaborative Total Variation: {A} General Framework for Vectorial
 +               {TV} Models},
 +  titleurl = {Duran_et_al_siims2016.pdf},
 +  journal   = {{SIAM} J. Imaging Sci.},
 +  volume    = {9},
 +  number    = {1},
 +  pages     = {116--151},
 +  year      = {2016},
 +}
 +
 +@article{BurgerGMEC16,
 +  author    = {M. Burger and
 +               G. Gilboa and
 +               M. M{\"{o}}ller and
 +               L. Eckardt and
 +               D. Cremers},
 +  title     = {Spectral Decompositions Using One-Homogeneous Functionals},
 +  journal   = {{SIAM} J. Imaging Sci.},
 +  volume    = {9},
 +  number    = {3},
 +  pages     = {1374--1408},
 +  year      = {2016},
 } }
  
Line 5749: Line 5971:
   titleurl = {steinbruecker_etal_iccv2013.pdf},   titleurl = {steinbruecker_etal_iccv2013.pdf},
   topic = {3D Reconstruction},   topic = {3D Reconstruction},
-  keywords =  {RGB-D,Fusion,3d-reconstruction}+  keywords =  {RGB-D,Fusion,3d-reconstruction,vslam}
 } }
  
Line 5793: Line 6015:
   titleurl = {steinbruecker_etal_icra2014.pdf},   titleurl = {steinbruecker_etal_icra2014.pdf},
   topic = {3D Reconstruction},   topic = {3D Reconstruction},
-  keywords =  {RGB-D,Fusion,3d-reconstruction}+  keywords =  {RGB-D,Fusion,3d-reconstruction,vslam}
 } }
  
Line 5805: Line 6027:
   pages = "1646-–1656",   pages = "1646-–1656",
   topic = {quadrocopter, ardrone},   topic = {quadrocopter, ardrone},
-  keywords = {quadrocopter, ardrone},+  keywords = {quadrocopter, ardrone, vslam},
 } }
  
Line 5825: Line 6047:
   titleurl = {kee-cvpr14.pdf},   titleurl = {kee-cvpr14.pdf},
   topic = {Image Segmentation, Convex Relaxation, Information Theory},   topic = {Image Segmentation, Convex Relaxation, Information Theory},
 +}
 +
 +@article{KeeLSCK17,
 +  author    = {Y. Kee and
 +               Y. Lee and
 +               M. Souiai and
 +               D. Cremers and
 +               J. Kim},
 +  title     = {Sequential Convex Programming for Computing Information-Theoretic
 +               Minimal Partitions: Nonconvex Nonsmooth Optimization},
 +  journal   = {{SIAM} J. Imaging Sci.},
 +  volume    = {10},
 +  number    = {4},
 +  pages     = {1845--1877},
 +  year      = {2017},
 } }
  
Line 5833: Line 6070:
    Booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)},    Booktitle = {Proc. of The 12th International Symposium on Experimental Robotics (ISER)},
    Year = {2014},    Year = {2014},
 +   keywords = {vslam},
 } }
  
Line 5847: Line 6085:
   titleurl = {rodola-cgf14.pdf},   titleurl = {rodola-cgf14.pdf},
   titleurl = {consensus_demo.zip},   titleurl = {consensus_demo.zip},
 +}
 +
 +@inproceedings{Cremers17,
 +  author    = {D. Cremers},
 +  title     = {Direct methods for 3D reconstruction and visual {SLAM}},
 +  booktitle = {Fifteenth {IAPR} International Conference on Machine Vision Applications,
 +               {MVA} 2017, Nagoya, Japan, May 8-12, 2017},
 +  pages     = {34--38},
 +  publisher = {{IEEE}},
 +  year      = {2017},
 +  keywords = {vslam},
 } }
  
Line 5855: Line 6104:
 month={September}, month={September},
 booktitle = eccv, booktitle = eccv,
-keywords={rgb-d, monocular, slam, semidense, lsdslam},+keywords={rgb-d, monocular, slam, semidense, lsdslam, vslam},
 award = {Oral Presentation} award = {Oral Presentation}
 } }
Line 5865: Line 6114:
 month={September}, month={September},
 booktitle = ismar, booktitle = ismar,
-keywords={rgb-d, monocular, slam, semidense, lsdslam, ar},+keywords={rgb-d, monocular, slam, semidense, lsdslam, ar, vo, vslam},
 award = {Best Short Paper Award} award = {Best Short Paper Award}
 } }
Line 5920: Line 6169:
     address={M\"unster, Germany},     address={M\"unster, Germany},
     month={September},     month={September},
-    keywords={rgb-d,rgb-d benchmark},+    keywords={rgb-d,rgb-d benchmark,vslam},
     note = {{<a href="/_media/spezial/bib/maier2014gcpr_slides.pdf" target="_blank">[slides]</a>}},     note = {{<a href="/_media/spezial/bib/maier2014gcpr_slides.pdf" target="_blank">[slides]</a>}},
 +  award = {Oral Presentation}
 } }
  
Line 6033: Line 6283:
   year         {2014},   year         {2014},
   month = {May},   month = {May},
- keywords = {student-project}+ keywords = {student-project,vslam}
 } }
  
Line 6044: Line 6294:
   year         {2014},   year         {2014},
   month = {Aug.},   month = {Aug.},
- keywords = {student-project}+ keywords = {student-project,vo,vio,vslam}
 } }
  
Line 6053: Line 6303:
   booktitle = {IROS2014 Aerial Open Source Robotics Workshop},   booktitle = {IROS2014 Aerial Open Source Robotics Workshop},
   year      = {2014},   year      = {2014},
- keywords = {nanocopter}+ keywords = {nanocopter,vo,vio,vslam}
 } }
  
Line 6083: Line 6333:
   year         {2014},   year         {2014},
   month = {Sept.},   month = {Sept.},
- keywords = {student-project, nanocopter}+ keywords = {student-project, nanocopter,vo,vio,vslam}
 } }
  
Line 6093: Line 6343:
   titleurl = {rodola-3dv14.pdf},   titleurl = {rodola-3dv14.pdf},
   topic = {Correspondence, Shape Analysis, Shape Matching, Object Recognition, Machine Learning}   topic = {Correspondence, Shape Analysis, Shape Matching, Object Recognition, Machine Learning}
-} 
- 
-@Misc{demmel14, 
-  author = Nikolaus Demmel,  
-  title = Total Variation Segmentation Incorporating Depth Information 
-  month  = Sept., 
-  year = 2014 
-  note = IDP Project, 
-  keywords = Total Variation, Segmentation, RGB-D Images, student-project 
 } }
  
Line 6178: Line 6419:
   number = {4},   number = {4},
   pages = {809--822},   pages = {809--822},
 +  keywords = {rgb-d, 3d reconstruction, tracking, vo, vslam},
   note = {{<a href="https://youtu.be/iugCiyMTFN8"target="_blank">[video]</a>}}   note = {{<a href="https://youtu.be/iugCiyMTFN8"target="_blank">[video]</a>}}
 } }
Line 6240: Line 6482:
   year = {2014},   year = {2014},
   doi = {10.1016/j.jvcir.2013.02.008},   doi = {10.1016/j.jvcir.2013.02.008},
 +  keywords = {vslam},
   url = {http://ais.uni-bonn.de/papers/JVCI_13_RGB-D-SLAM.pdf},   url = {http://ais.uni-bonn.de/papers/JVCI_13_RGB-D-SLAM.pdf},
 } }
Line 6367: Line 6610:
   month = jul,   month = jul,
   year = {2014},   year = {2014},
 +  keywords = {vslam},
   url = {http://ais.uni-bonn.de/papers/IAS_2014_Droeschel_MAV-Mapping.pdf},   url = {http://ais.uni-bonn.de/papers/IAS_2014_Droeschel_MAV-Mapping.pdf},
  
Line 6377: Line 6621:
   month = jun,   month = jun,
   year = {2014},   year = {2014},
 +  keywords = {vo, vslam},
   url = {http://ais.uni-bonn.de/papers/ISR_Robotik_2014_Stueckler.pdf},   url = {http://ais.uni-bonn.de/papers/ISR_Robotik_2014_Stueckler.pdf},
  
Line 6400: Line 6645:
 pages={5221-5226}, pages={5221-5226},
 doi={10.1109/ICRA.2014.6907626}, doi={10.1109/ICRA.2014.6907626},
 +keywords = {vslam},
 url = {http://ais.uni-bonn.de/papers/ICRA_2014_Droeschel.pdf}, url = {http://ais.uni-bonn.de/papers/ICRA_2014_Droeschel.pdf},
 } }
Line 6413: Line 6659:
  doi = {10.1145/2559636.2563716},  doi = {10.1145/2559636.2563716},
  publisher = {ACM},  publisher = {ACM},
-url = {http://ais.uni-bonn.de/papers/HRI_2014_Tablet.pdf},+ url = {http://ais.uni-bonn.de/papers/HRI_2014_Tablet.pdf},
  
  
Line 6424: Line 6670:
 pages={1-6}, pages={1-6},
 doi={10.1109/SSRR.2013.6719373}, doi={10.1109/SSRR.2013.6719373},
 +keywords = {vslam},
 url = {http://ais.uni-bonn.de/papers/SSRR_2013_Schadler_3D_Laser_Mapping_Tracking.pdf}, url = {http://ais.uni-bonn.de/papers/SSRR_2013_Schadler_3D_Laser_Mapping_Tracking.pdf},
 } }
Line 6442: Line 6689:
   publisher = {IEEE},   publisher = {IEEE},
   year = 2013,   year = 2013,
 +  keywords = {vslam},
   url = {http://ais.uni-bonn.de/papers/ECMR13_McElhone.pdf},   url = {http://ais.uni-bonn.de/papers/ECMR13_McElhone.pdf},
 } }
Line 6471: Line 6719:
   booktitle = {Proc. of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},   booktitle = {Proc. of the 23rd International Joint Conference on Artificial Intelligence (IJCAI)},
   publisher = {IJCAI/AAAI},   publisher = {IJCAI/AAAI},
-  year = 2013,+  year = {2013}, 
 +  keywords = {vslam},
   url = {http://ais.uni-bonn.de/papers/IJCAI13_Stueckler.pdf},   url = {http://ais.uni-bonn.de/papers/IJCAI13_Stueckler.pdf},
 } }
Line 6516: Line 6765:
 pages={162-167}, pages={162-167},
 doi={10.1109/MFI.2012.6343050}, doi={10.1109/MFI.2012.6343050},
 +keywords = {vslam},
 url = {http://ais.uni-bonn.de/papers/MFI_2012_SLAM.pdf}, url = {http://ais.uni-bonn.de/papers/MFI_2012_SLAM.pdf},
 } }
Line 6534: Line 6784:
 title = {{SURE}: Surface Entropy for Distinctive 3D Features}, title = {{SURE}: Surface Entropy for Distinctive 3D Features},
 booktitle = {Proc. of Spatial Cognition}, booktitle = {Proc. of Spatial Cognition},
-year = 2012,+year = {2012},
 url = {http://ais.uni-bonn.de/papers/Spatial_Cognition_2012_SURE.pdf}, url = {http://ais.uni-bonn.de/papers/Spatial_Cognition_2012_SURE.pdf},
 } }
Line 6582: Line 6832:
   publisher = {VDE-Verlag},   publisher = {VDE-Verlag},
   year = 2012,   year = 2012,
 +  keywords = {vslam},
   url = {http://ais.uni-bonn.de/papers/robotik2012_stueckler_mrsreg.pdf},   url = {http://ais.uni-bonn.de/papers/robotik2012_stueckler_mrsreg.pdf},
 } }
Line 6756: Line 7007:
 doi={10.1109/ROBOT.2010.5509689}, doi={10.1109/ROBOT.2010.5509689},
 url={http://ais.uni-bonn.de/papers/ICRA_2010_Nieuwenhuisen_Stueckler_Behnke.pdf}, url={http://ais.uni-bonn.de/papers/ICRA_2010_Nieuwenhuisen_Stueckler_Behnke.pdf},
 +keywords = {vslam},
 } }
  
Line 6843: Line 7095:
 year={2015}, year={2015},
 note={to appear}, note={to appear},
 +keywords = {vslam},
 } }
  
Line 6932: Line 7185:
 @inproceedings{Gomez-et-al-ismrm15, @inproceedings{Gomez-et-al-ismrm15,
   author = {P.A. G\'omez and T. Sprenger and A.A. L\'opez and J.I. Sperl and B. Fernandez and M. Molina-Romero and X. Liu and V. Golkov and M. Czisch and P. Saemann and M.I. Menzel and B.H. Menze},   author = {P.A. G\'omez and T. Sprenger and A.A. L\'opez and J.I. Sperl and B. Fernandez and M. Molina-Romero and X. Liu and V. Golkov and M. Czisch and P. Saemann and M.I. Menzel and B.H. Menze},
-  title = {Using Diffusion and Structural MRI for the Automated Segmentation of Multiple Sclerosis Lesions}, +  title = {Using Diffusion and Structural {MRIfor the Automated Segmentation of Multiple Sclerosis Lesions}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2015,   year = 2015,
   keywords = {magnetic resonance imaging, diffusion MRI, segmentation, medical imaging}   keywords = {magnetic resonance imaging, diffusion MRI, segmentation, medical imaging}
Line 6941: Line 7194:
   author = {M.I. Menzel and T. Sprenger and E.T. Tan and V. Golkov and C.J. Hardy and L. Marinelli and J.I. Sperl},   author = {M.I. Menzel and T. Sprenger and E.T. Tan and V. Golkov and C.J. Hardy and L. Marinelli and J.I. Sperl},
   title = {Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging},   title = {Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging},
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2015,   year = 2015,
   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}   keywords = {magnetic resonance imaging, diffusion MRI, medical imaging}
Line 6948: Line 7201:
 @inproceedings{Menini-et-al-ismrm15, @inproceedings{Menini-et-al-ismrm15,
   author = {A. Menini and V. Golkov and F. Wiesinger},   author = {A. Menini and V. Golkov and F. Wiesinger},
-  title = {Free-Breathing, Self-Navigated RUFIS Lung Imaging with Motion Compensated Image Reconstruction}, +  title = {Free-Breathing, Self-Navigated {RUFISLung Imaging with Motion Compensated Image Reconstruction}, 
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   year = 2015,   year = 2015,
   keywords = {magnetic resonance imaging, medical imaging}   keywords = {magnetic resonance imaging, medical imaging}
Line 6956: Line 7209:
 @inproceedings{Golkov-et-al-miccai2015-qDL, @inproceedings{Golkov-et-al-miccai2015-qDL,
   author = {V. Golkov and A. Dosovitskiy and P. S\"amann and J. I. Sperl and T. Sprenger and M. Czisch and M. I. Menzel and P. A. G\'omez and A. Haase and T. Brox and D. Cremers},   author = {V. Golkov and A. Dosovitskiy and P. S\"amann and J. I. Sperl and T. Sprenger and M. Czisch and M. I. Menzel and P. A. G\'omez and A. Haase and T. Brox and D. Cremers},
-  title = {{q}-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans},+  title = {{q-SpaceDeep Learning for Twelve-Fold Shorter and Model-Free Diffusion {MRIScans},
   booktitle = miccai,   booktitle = miccai,
   month = oct,   month = oct,
   year = 2015,   year = 2015,
   address = {Munich, Germany},   address = {Munich, Germany},
-  keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deeplearning}+  keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deep learning}
 } }
  
Line 6970: Line 7223:
     title = "{FlowNet: Learning Optical Flow with Convolutional Networks}",     title = "{FlowNet: Learning Optical Flow with Convolutional Networks}",
     booktitle = iccv,     booktitle = iccv,
-    keywords = {deeplearning, optical-flow},+    keywords = {deep learning, optical-flow},
     year = 2015,     year = 2015,
     month = dec,     month = dec,
Line 6979: Line 7232:
 @incollection{Golkov-et-al-cdmri2015-holistic, @incollection{Golkov-et-al-cdmri2015-holistic,
   author = {V. Golkov and J. M. Portegies and A. Golkov and R. Duits and D. Cremers},   author = {V. Golkov and J. M. Portegies and A. Golkov and R. Duits and D. Cremers},
-  title = {Holistic Image Reconstruction for Diffusion MRI}, +  title = {Holistic Image Reconstruction for Diffusion {MRI}}, 
-  booktitle = {Computational Diffusion MRI},+  booktitle = {Computational Diffusion {MRI}},
   month = oct,   month = oct,
   publisher = {Springer},   publisher = {Springer},
Line 6986: Line 7239:
   address = {Munich, Germany},   address = {Munich, Germany},
   keywords = {magnetic resonance imaging, diffusion MRI, primal-dual, space of positions and orientations, medical imaging},   keywords = {magnetic resonance imaging, diffusion MRI, primal-dual, space of positions and orientations, medical imaging},
-  award = {Book Chapter, and Oral Presentation at {MICCAI} 2015 Workshop on Computational Diffusion MRI}+  award = {Book Chapter, and Oral Presentation at {MICCAI} 2015 Workshop on Computational Diffusion {MRI}}
  
  
Line 7017: Line 7270:
   year = 2015,   year = 2015,
   month = sept,   month = sept,
-  keywords = {slam, stereo, semidense, reconstruction}+  keywords = {slam, stereo, semidense, reconstruction, vslam}
 } }
  
Line 7026: Line 7279:
   month = sept,   month = sept,
   year = 2015,   year = 2015,
-  keywords = {slam, fisheye, semidense, reconstruction}+  keywords = {slam, fisheye, semidense, reconstruction, vslam}
 } }
  
Line 7053: Line 7306:
   month = oct,   month = oct,
   year = 2015,   year = 2015,
-  keywords = {slam, stereo, semidense, reconstruction}+  keywords = {slam, stereo, semidense, reconstruction, vslam}
 } }
  
Line 7108: Line 7361:
   year = {2015},   year = {2015},
   address = {Santiago, Chile},   address = {Santiago, Chile},
-  keywords = {rgb-d,slam,rgbdslam,dense visual odometry},+  keywords = {rgb-d,slam,rgbdslam,dense visual odometry, vo, vslam},
   note = {{<a href="https://youtu.be/Lo6tKswM3hc"target="_blank">[video]</a><a href="/_media/spezial/bib/kerl15iccv_supplementary.pdf"target="_blank">[supplementary]</a><a href="/%7ekerl/kerl_etal_iccv2015_webpage/"target="_blank">[datasets]</a>}},   note = {{<a href="https://youtu.be/Lo6tKswM3hc"target="_blank">[video]</a><a href="/_media/spezial/bib/kerl15iccv_supplementary.pdf"target="_blank">[supplementary]</a><a href="/%7ekerl/kerl_etal_iccv2015_webpage/"target="_blank">[datasets]</a>}},
 } }
Line 7121: Line 7374:
   keywords = {convex relaxation,DC programming, image segmentation, 3D reconstruction}   keywords = {convex relaxation,DC programming, image segmentation, 3D reconstruction}
 } }
 +
 +@article{KeeLYCK15,
 +  author    = {Y. Kee and
 +               H. Lee and
 +               J. Yim and
 +               D. Cremers and
 +               J. Kim},
 +  title     = {Entropy Minimization for Groupwise Planar Shape Co-alignment and its
 +               Applications},
 +  journal   = {{IEEE} Signal Process. Lett.},
 +  volume    = {22},
 +  number    = {11},
 +  pages     = {1922--1926},
 +  year      = {2015},
 +}
 +
 @inproceedings{stark-gcpr15, @inproceedings{stark-gcpr15,
   author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers},   author = {F. Stark and C. Hazirbas and R. Triebel and D. Cremers},
Line 7128: Line 7397:
   address = {Aachen, Germany},   address = {Aachen, Germany},
   note = {{<a href="https://github.com/tum-vision/captcha_recognition" target="_blank">[code]</a>}},   note = {{<a href="https://github.com/tum-vision/captcha_recognition" target="_blank">[code]</a>}},
-  keywords = {deeplearning}+  keywords = {deep learning}
 } }
  
Line 7244: Line 7513:
   author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers},   author = {E. Rodola and L. Cosmo and M. M. Bronstein and A. Torsello and D. Cremers},
   title = {Partial Functional Correspondence},   title = {Partial Functional Correspondence},
-  year = {2016},+  volume    = {36}, 
 +  number    = {1}, 
 +  pages     = {222--236}, 
 +  year = {2017},
   journal = {Computer Graphics Forum},   journal = {Computer Graphics Forum},
   publisher = {Wiley},   publisher = {Wiley},
Line 7254: Line 7526:
   author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers},   author = {L. Cosmo and E. Rodola and A. Albarelli and F. Memoli and D. Cremers},
   title = {Consistent Partial Matching of Shape Collections via Sparse Modeling},   title = {Consistent Partial Matching of Shape Collections via Sparse Modeling},
-  year = {2016},+  year = {2017}, 
 +  volume    = {36}, 
 +  number    = {1}, 
 +  pages     = {209--221},
   journal = {Computer Graphics Forum},   journal = {Computer Graphics Forum},
   publisher = {Wiley},   publisher = {Wiley},
Line 7269: Line 7544:
   volume = {35},   volume = {35},
   number = {2},   number = {2},
 +  pages     = {431--441},
   topic = {Shape Analysis, Shape Matching},   topic = {Shape Analysis, Shape Matching},
 } }
  
-   +@inproceedings{MayerIHFCDB16
-   +  author    {N. Mayer and 
- +               E. Ilg and 
-@InProceedings{sceneflownet-arxiv+               P. H{\"{a}}usser and 
-  author       "N.Mayer and E.Ilg and P.Haeusser and P.Fischer and D.Cremers and A.Dosovitskiy and T.Brox"+               P. Fischer and 
-  title        "A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation"+               D. Cremers and 
-  booktitle    "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)"+               A. Dosovitskiy and 
-  year         = "2016"+               T. Brox}
-  note         "arXiv:1512.02134"+  title     {A Large Dataset to Train Convolutional Networks for Disparity, Optical 
-  url          "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16"+               Flow, and Scene Flow Estimation}
-   +  booktitle = {2016 {IEEEConference on Computer Vision and Pattern Recognition, 
-  keywords = {deeplearning, scene-flow}+               {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016}
 +  pages     {4040--4048}
 +  publisher {{IEEE} Computer Society}
 +  year      = {2016},
 } }
  
Line 7297: Line 7576:
 @inproceedings{Golkov-et-al-isbi2016, @inproceedings{Golkov-et-al-isbi2016,
   author = {V. Golkov and T. Sprenger and J. I. Sperl and M. I. Menzel and M. Czisch and P. S\"amann and D. Cremers},   author = {V. Golkov and T. Sprenger and J. I. Sperl and M. I. Menzel and M. Czisch and P. S\"amann and D. Cremers},
-  title = {Model-Free Novelty-Based Diffusion MRI}, +  title = {Model-Free Novelty-Based Diffusion {MRI}}, 
-  booktitle = isbi,+  booktitle = {{IEEE} International Symposium on Biomedical Imaging ({ISBI})},
   month = apr,   month = apr,
   year = 2016,   year = 2016,
Line 7312: Line 7591:
   year = 2016,   year = 2016,
   address = {Barcelona, Spain},   address = {Barcelona, Spain},
-  keywords = {computational structural biology, deep learning, convolutional networks, graph-valued images, deeplearning},+  keywords = {computational structural biology, deep learning, convolutional networks, graph-valued images, deep learning, biology},
   note = {{<a href="https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Protein-contact-prediction-from-amino-acid-co-evolution-using-convolutional-networks-for-graph-value" target="_blank">[video]</a>}},   note = {{<a href="https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Protein-contact-prediction-from-amino-acid-co-evolution-using-convolutional-networks-for-graph-value" target="_blank">[video]</a>}},
   award = {Oral Presentation (acceptance rate: under 2%)}   award = {Oral Presentation (acceptance rate: under 2%)}
Line 7327: Line 7606:
 @article{Golkov-et-al-tmi2016, @article{Golkov-et-al-tmi2016,
   author = {V. Golkov and A. Dosovitskiy and J. I. Sperl and M. I. Menzel and M. Czisch and P. S\"amann and T. Brox and D. Cremers},   author = {V. Golkov and A. Dosovitskiy and J. I. Sperl and M. I. Menzel and M. Czisch and P. S\"amann and T. Brox and D. Cremers},
-  title = {{q}-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans},+  title = {{q-SpaceDeep Learning: Twelve-Fold Shorter and Model-Free Diffusion {MRIScans},
   year = {2016},   year = {2016},
   journal = tmi,   journal = tmi,
   volume = {35},   volume = {35},
   issue = {5},   issue = {5},
-  keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deeplearning},+  keywords = {magnetic resonance imaging, diffusion MRI, deep learning, q-space deep learning, machine learning, model-free diffusion MRI, segmentation, medical imaging, deep learning},
   issuetitle = {Special Issue on Deep Learning},   issuetitle = {Special Issue on Deep Learning},
   award = {Special Issue on Deep Learning}   award = {Special Issue on Deep Learning}
Line 7344: Line 7623:
   month        = "May",   month        = "May",
   year         = "2016",   year         = "2016",
-  topic={Shape Analysis},+  keywords={Shape Analysis, Geometry Processing},
   url          = {http://vision.in.tum.de/~laehner/Elastic2D3D/},   url          = {http://vision.in.tum.de/~laehner/Elastic2D3D/},
   note = {{<a href="https://github.com/zorah/Elastic2D3D" target="_blank">[Code]</a>, <a href="https://vision.in.tum.de/~laehner/Elastic2D3D/" target="_blank">[Homepage]</a>}}   note = {{<a href="https://github.com/zorah/Elastic2D3D" target="_blank">[Code]</a>, <a href="https://vision.in.tum.de/~laehner/Elastic2D3D/" target="_blank">[Homepage]</a>}}
Line 7355: Line 7634:
  year = "2016",  year = "2016",
  month = "May",  month = "May",
- +  keywords={visual inertial odometry, sensor fusion, vio, vslam},
-    keywords={visual inertial odometry, sensor fusion},+
 } }
  
Line 7376: Line 7654:
         topic={Shape Analysis},         topic={Shape Analysis},
         url = {http://vision.in.tum.de/~laehner/shrec2016/},         url = {http://vision.in.tum.de/~laehner/shrec2016/},
-        keywords = {Shape Analysis, Shape Matching, SHREC, Topology},+        keywords = {Shape Analysis, Shape Matching, SHREC, Topology, Geometry Processing},
         note = {{<a href="http://vision.in.tum.de/~laehner/shrec2016/" target="_blank">[Dataset]</a>}},         note = {{<a href="http://vision.in.tum.de/~laehner/shrec2016/" target="_blank">[Dataset]</a>}},
 } }
Line 7418: Line 7696:
   year = "2016",   year = "2016",
   month = "May",   month = "May",
-  keywords={RGB-D SLAM, semantic segmentation}+  keywords={RGB-D SLAM, semantic segmentation, vslam}
 } }
  
Line 7452: Line 7730:
   volume = {35},   volume = {35},
   number = {5},   number = {5},
 +  pages     = {135--143},
   award = {Received the Best Paper Award at SGP 2016},   award = {Received the Best Paper Award at SGP 2016},
   year = {2016},   year = {2016},
Line 7480: Line 7759:
   year = "2016",   year = "2016",
   month = "July",   month = "July",
-  keywords={mono-ds,dso,photometric-calibration}+  keywords={mono-ds,dso,photometric-calibration, vo, vslam}
 } }
  
Line 7491: Line 7770:
   year = "2016",   year = "2016",
   month = "July",   month = "July",
-  keywords={mono-ds,dso}+  keywords={mono-ds,dso, vslam}
 } }
  
Line 7501: Line 7780:
   month = mar,   month = mar,
   titleurl = {engel_et_al_pami2018.pdf},   titleurl = {engel_et_al_pami2018.pdf},
-  keywords={mono-ds,dso,directsparseodometry}+  keywords={mono-ds,dso,directsparseodometry, vslam}
 } }
  
Line 7512: Line 7791:
 keywords={convex-optimization, convex-relaxation, multilabeling, primal-dual}, keywords={convex-optimization, convex-relaxation, multilabeling, primal-dual},
 note = {{<a href="/_media/spezial/bib/laude16eccv_supp.pdf"target="_blank">[supp]</a>} {<a href="https://github.com/tum-vision/sublabel_relax" target="_blank">[code]</a>}} note = {{<a href="/_media/spezial/bib/laude16eccv_supp.pdf"target="_blank">[supp]</a>} {<a href="https://github.com/tum-vision/sublabel_relax" target="_blank">[code]</a>}}
 +}
 +
 +@inproceedings{BenderCK16,
 +  author    = {D. Bender and
 +               D. Cremers and
 +               W. Koch},
 +  title     = {A position free boresight calibration for INS-camera systems},
 +  booktitle = {2016 {IEEE} International Conference on Multisensor Fusion and Integration
 +               for Intelligent Systems, {MFI} 2016, Baden-Baden, Germany, September
 +               19-21, 2016},
 +  pages     = {52--57},
 +  publisher = {{IEEE}},
 +  year      = {2016},
 } }
  
Line 7520: Line 7812:
   year = "2016",   year = "2016",
   month = "October",   month = "October",
-  keywords={shape retrieval, shape representation, supervised learning},+  keywords={shape retrieval, shape representation, supervised learning, metric learning},
   note = {{<a href="https://github.com/tum-vision/csd_lmnn" target="_blank">[code]</a>} },   note = {{<a href="https://github.com/tum-vision/csd_lmnn" target="_blank">[code]</a>} },
 +  keywords = {Geometry Processing}
 } }
  
Line 7530: Line 7823:
  year      = {2016},  year      = {2016},
  month = november,  month = november,
- keywords = {segmentation, deeplearning},+ keywords = {segmentation, deep learning},
 note = {{<a href="https://github.com/tum-vision/fusenet" target="_blank">[code]</a>}}, note = {{<a href="https://github.com/tum-vision/fusenet" target="_blank">[code]</a>}},
 } }
Line 7541: Line 7834:
   month = "October",   month = "October",
   topic        = {Shape Analysis, Convex Relaxation Methods, Correspondence},   topic        = {Shape Analysis, Convex Relaxation Methods, Correspondence},
-  keywords={Shape Analysis, optical-flow, convex-relaxation, Correspondence}+  keywords = {Geometry Processing}
 } }
  
Line 7562: Line 7855:
   titleurl = {2017_ProductManifoldFilter.pdf},   titleurl = {2017_ProductManifoldFilter.pdf},
   topic = {Shape Analysis, Shape Matching},   topic = {Shape Analysis, Shape Matching},
-  note = {{<a href="/_media/spezial/bib/pmf_minimal.zip" target="_blank">[Code]</a>}, also check the related {<a href="https://github.com/zorah/KernelMatching" target="_blank">github repository</a>}},  +  note = {{<a href="/_media/spezial/bib/pmf_minimal.zip" target="_blank">[Code]</a>}, also check the related {<a href="https://github.com/zorah/KernelMatching" target="_blank">github repository</a>}}, 
 +  keywords = {Geometry Processing} 
 } }
  
Line 7570: Line 7864:
 @inproceedings{dzitsiuk2017icra, @inproceedings{dzitsiuk2017icra,
  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},  title={De-noising, Stabilizing and Completing {3D} Reconstructions On-the-go using Plane Priors},
- author={Dzitsiuk, M. and Sturm, J. and Maier, R. and Ma, L. and Cremers, D.},+ author={M. Dzitsiuk and J. Sturm and R. Maier and L. Ma and D. Cremers},
  booktitle={International Conference on Robotics and Automation (ICRA)},  booktitle={International Conference on Robotics and Automation (ICRA)},
  year={2017},  year={2017},
Line 7588: Line 7882:
   arXiv     = {arXiv:1609.07835},   arXiv     = {arXiv:1609.07835},
   year      = {2017},   year      = {2017},
-  month     = {September}+  month     = {September}
 +  keywords  = {vslam}, 
 +  note      = {{<a href="https://arxiv.org/pdf/1609.07835.pdf" target="_blank">[arXiv]</a>}},
 } }
  
 @InProceedings{walch16spatialstms, @InProceedings{walch16spatialstms,
- author = "Florian Walch and + author = "F. Walch and 
-          Caner Hazirbas and +          C. Hazirbas and 
-          Laura Leal-Taixé and +          L. Leal-Taixé and 
-          Torsten Sattler and +          T. Sattler and 
-          Sebastian Hilsenbeck and +          S. Hilsenbeck and 
-          Daniel Cremers",+          D. Cremers",
  title = "Image-based localization using LSTMs for structured feature correlation",  title = "Image-based localization using LSTMs for structured feature correlation",
  month = "October",  month = "October",
Line 7603: Line 7899:
  booktitle = iccv,  booktitle = iccv,
  note = {{<a href="https://arxiv.org/abs/1611.07890" target="_blank">[arxiv]</a>}},  note = {{<a href="https://arxiv.org/abs/1611.07890" target="_blank">[arxiv]</a>}},
- keywords = {deeplearning},+ keywords = {deep learning},
 } }
  
Line 7613: Line 7909:
   year={2016},   year={2016},
   publisher={Springer},   publisher={Springer},
-  topic = {Shape Analysis, Shape Matching, Machine Learning}+  keywords = {Geometry Processing}
 } }
  
Line 7634: Line 7930:
   publisher="NIPS Workshops",    publisher="NIPS Workshops", 
   month = "December",   month = "December",
-  keywords={autonomous driving, reinforcement learning, artificial intelligence, DQN},+  keywords={autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning},
     note = {{<a href="https://arxiv.org/abs/1612.03653" target="_blank">[arxiv]</a>}},     note = {{<a href="https://arxiv.org/abs/1612.03653" target="_blank">[arxiv]</a>}},
 } }
Line 7655: Line 7951:
   year = {2017},   year = {2017},
   booktitle = {23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO)},   booktitle = {23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO)},
-  keywords = {deeplearning, medical imaging}+  keywords = {deep learning, medical imaging}
 } }
  
 @inproceedings{Golkov-et-al-arxiv2017-function3d, @inproceedings{Golkov-et-al-arxiv2017-function3d,
   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},   author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers},
-  title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, +  title = {{3DDeep Learning for Biological Function Prediction from Physical Fields}, 
-  year = {2017}, +  booktitle = {International Conference on 3D Vision (3DV)}, 
- howpublished = {Preprint}, +  year = {2020}, 
-  note = {{<a href="https://arxiv.org/abs/1704.04039">arXiv:1704.04039</a>}}, +  journal = {arXiv preprint arXiv:1704.04039}, 
-  booktitle = {ArXiv preprint}, +  eprint = {1704.04039}, 
-  keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning},+  eprinttype = {arXiv}, 
 +  keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deep learning, biology},
 } }
  
Line 7682: Line 7979:
   booktitle = cvpr,   booktitle = cvpr,
   year = "2017",   year = "2017",
-  keywords = {semi-supervised, deeplearning, neural networks, association, associative_learning},+  keywords = {semi-supervised, deep learning, neural networks, association, associative_learning},
   titleurl = {haeusser_cvpr_17.pdf},   titleurl = {haeusser_cvpr_17.pdf},
   note = {{<a href="https://github.com/haeusser/learning_by_association" target="_blank">[code]</a> <a href="http://openaccess.thecvf.com/content_cvpr_2017/papers/Haeusser_Learning_by_Association_CVPR_2017_paper.pdf" target="_blank">[PDF from CVF]</a>}}   note = {{<a href="https://github.com/haeusser/learning_by_association" target="_blank">[code]</a> <a href="http://openaccess.thecvf.com/content_cvpr_2017/papers/Haeusser_Learning_by_Association_CVPR_2017_paper.pdf" target="_blank">[PDF from CVF]</a>}}
Line 7689: Line 7986:
  
 @InProceedings{slavcheva-et-al-cvpr17, @InProceedings{slavcheva-et-al-cvpr17,
-  author = "Miroslava Slavcheva and +  author = "M. Slavcheva and 
-               Maximilian Baust and +               M. Baust and 
-               Daniel Cremers and +               D. Cremers and 
-               Slobodan Ilic",+               S. Ilic",
   title = "KillingFusion: Non-rigid 3D Reconstruction without Correspondences",   title = "KillingFusion: Non-rigid 3D Reconstruction without Correspondences",
   booktitle = cvpr,   booktitle = cvpr,
Line 7722: Line 8019:
   year = {2017},   year = {2017},
   doi = {10.1007/s41095-016-0075-z},   doi = {10.1007/s41095-016-0075-z},
 +}
 +
 +@inproceedings{BenderRSCK16,
 +  author    = {D. Bender and
 +               F. Rouatbi and
 +               M. Schikora and
 +               D. Cremers and
 +               W. Koch},
 +  title     = {Scaling the world of monocular {SLAM} with INS-measurements for {UAS}
 +               navigation},
 +  booktitle = {19th International Conference on Information Fusion, {FUSION} 2016,
 +               Heidelberg, Germany, July 5-8, 2016},
 +  pages     = {1493--1500},
 +  publisher = {{IEEE}},
 +  year      = {2016},
 +  keywords={vslam}
 } }
  
Line 7775: Line 8088:
  
 @InProceedings{meinhardt17learning, @InProceedings{meinhardt17learning,
- author = "Tim Meinhardt and + author = "T. Meinhardt and 
-           Michael Moeller and +           M. Moeller and 
-           Caner Hazirbas and +           C. Hazirbas and 
-           Daniel Cremers",+           D. Cremers",
  title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems},  title = {Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems},
  month = "October",  month = "October",
Line 7784: Line 8097:
  booktitle = iccv,  booktitle = iccv,
  note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}, {<a href="https://github.com/tum-vision/learn_prox_ops" target="_blank">[code]</a>}},  note = {{<a href="https://arxiv.org/abs/1704.03488" target="_blank">[arxiv]</a>}, {<a href="https://github.com/tum-vision/learn_prox_ops" target="_blank">[code]</a>}},
- keywords = {deeplearning},+ keywords = {deep learning},
 } }
  
 @InProceedings{hazirbas18ddff, @InProceedings{hazirbas18ddff,
- author = "Caner Hazirbas and Sebastian Georg Soyer and Maximilian Christian Staab and Laura Leal-Taixé and Daniel Cremers", + author = "C. Hazirbas and S. G. Soyer and M. C. Staab and L. Leal-Taixé and D. Cremers", 
- title = {{<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>}},+ title = {{Deep Depth From Focus}},
  year = "2018",  year = "2018",
  month = "December",  month = "December",
  booktitle = "Asian Conference on Computer Vision (ACCV)",  booktitle = "Asian Conference on Computer Vision (ACCV)",
- note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}}, + note = {{<a href="https://arxiv.org/abs/1704.01085" target="_blank">[arxiv]</a>}, {<a href="https://hazirbas.github.io/projects/ddff/" target="_blank">Deep Depth From Focus</a>},{<a href="https://vision.in.tum.de/data/datasets/ddff12scene" target="_blank">[dataset]</a>}}, 
- keywords = {deeplearning},+ keywords = {deep learning},
 } }
  
Line 7803: Line 8116:
 title = {{One-Shot Video Object Segmentation}}, title = {{One-Shot Video Object Segmentation}},
 year = {2017}, year = {2017},
-keywords = {deeplearning},+keywords = {deep learning},
 } }
  
Line 7818: Line 8131:
   author = "N. Yang and R. Wang and X. Gao and D. Cremers",   author = "N. Yang and R. Wang and X. Gao and D. Cremers",
   title = "Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect",   title = "Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect",
-  journal = "IEEE Robotics and Automation Letters (RA-L)",+  journal = " In IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robots and Systems (IROS)",
   volume = {3},   volume = {3},
   issue = {4},   issue = {4},
Line 7826: Line 8139:
   doi = "10.1109/LRA.2018.2846813",   doi = "10.1109/LRA.2018.2846813",
   titleurl = {yang18challenges.pdf},   titleurl = {yang18challenges.pdf},
-  keywords={Brightness;Calibration;Cameras;Feature extraction;Optimization;Robustness;Simultaneous localization and mapping;Localization;SLAM;performance evaluation and benchmarking}, +  keywords={Brightness;Calibration;Cameras;Feature extraction;Optimization;Robustness;Simultaneous localization and mapping;Localization;SLAM;performance evaluation and benchmarking;vslam}, 
-  note = {{This paper was also selected by IROS'18 for presentation at the conference.<a href="https://arxiv.org/abs/1705.04300" target="_blank">[arxiv]</a>}}+  note = {{<a href="https://arxiv.org/abs/1705.04300" target="_blank">[arxiv]</a>}}
 } }
  
 @article{krieg2017genetic, @article{krieg2017genetic,
   title={Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling},   title={Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling},
-  author={Krieg, Michael and St\"uhmer, Jan and Cueva, Juan G and Fetter, Richard and Spilker, Kerri and Cremers, Daniel and Shen, Kang and Dunn, Alexander R and Goodman, Miriam B},+  author={M. Krieg and J. St\"uhmer and J. G. Cueva and R. Fetter and K. Spilker and D. Cremers and K. Shen and A. R. Dunn and M. B. Goodman},
   journal={eLife},   journal={eLife},
   volume={6},   volume={6},
Line 7838: Line 8151:
   year={2017},   year={2017},
   publisher={eLife Sciences Publications Limited},   publisher={eLife Sciences Publications Limited},
-  keywords=biomed+  keywords={biology}
 } }
  
 @article{krieg2017tau, @article{krieg2017tau,
   title={Tau Like Proteins Reduce Torque Generation in Microtubule Bundles},   title={Tau Like Proteins Reduce Torque Generation in Microtubule Bundles},
-  author={Krieg, Michael and St\"uhmer, Jan and Cueva, Juan G and Fetter, Richard and Spilker, Kerri and Cremers, Daniel and Shen, Kang and Dunn, Alex R and Goodman, Miriam B},+  author={M. Krieg and J. St\"uhmer and J. G. Cueva and R. Fetter and K. Spilker and D. Cremers and K. Shen and A. R. Dunn and M. B. Goodman},
   journal={Biophysical Journal},   journal={Biophysical Journal},
   volume={112},   volume={112},
Line 7871: Line 8184:
   year = "2017",   year = "2017",
   month = "May",   month = "May",
-  keywords={Multimodal, Text, Embeddings, deeplearning, associative_learning},+  keywords={Multimodal, Text, Embeddings, deep learning, associative_learning},
   titleurl = {kurach2017.pdf},   titleurl = {kurach2017.pdf},
 } }
Line 7880: Line 8193:
   booktitle = iccv,   booktitle = iccv,
   year = "2017",   year = "2017",
-  keywords = {semi-supervised, deeplearning, neural networks, association, domain adaptation, associative_learning},+  keywords = {semi-supervised, deep learning, neural networks, association, domain adaptation, associative_learning},
   titleurl = {haeusser_iccv_17.pdf},   titleurl = {haeusser_iccv_17.pdf},
   note = {{<a href="https://github.com/haeusser/learning_by_association" target="_blank">[code]</a> <a href="http://openaccess.thecvf.com/content_ICCV_2017/papers/Haeusser_Associative_Domain_Adaptation_ICCV_2017_paper.pdf" target="_blank">[PDF from CVF]</a>}}   note = {{<a href="https://github.com/haeusser/learning_by_association" target="_blank">[code]</a> <a href="http://openaccess.thecvf.com/content_ICCV_2017/papers/Haeusser_Associative_Domain_Adaptation_ICCV_2017_paper.pdf" target="_blank">[PDF from CVF]</a>}}
Line 7915: Line 8228:
    address={Qingdao, China},    address={Qingdao, China},
    award = {Oral Presentation},    award = {Oral Presentation},
-   topic = {Shape Analysis, Shape Matching},+   keywords = {Shape Analysis, Shape Matching, Geometry Processing},
    note = {{<a href="https://arxiv.org/abs/1707.08991" target="_blank">[arxiv]</a>,<a href="https://github.com/zorah/KernelMatching" target="_blank">[Code]</a>}}    note = {{<a href="https://arxiv.org/abs/1707.08991" target="_blank">[arxiv]</a>,<a href="https://github.com/zorah/KernelMatching" target="_blank">[Code]</a>}}
 } }
Line 7923: Line 8236:
 @inproceedings{maier2017efficient, @inproceedings{maier2017efficient,
  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},  title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction},
- author={Maier, R. and Schaller, R. and Cremers, D.},+ author={R. Maier and R. Schaller and D. Cremers},
  booktitle={British Machine Vision Conference (BMVC)},  booktitle={British Machine Vision Conference (BMVC)},
  year={2017},  year={2017},
  month={September},  month={September},
  address={London, United Kingdom},  address={London, United Kingdom},
-  keywords={rgb-d,slam,rgbdslam,rgb-d benchmark,reconstruction,3d-reconstruction,fusion},+  keywords={rgb-d,slam,rgbdslam,rgb-d benchmark,reconstruction,3d-reconstruction,fusion,vslam},
   note = {{<a href="/_media/spezial/bib/maier2017efficient_poster.pdf" target="_blank">[poster]</a> <a href="/_media/spezial/bib/maier2017efficient_supplementary.pdf" target="_blank">[supplementary]</a>}}   note = {{<a href="/_media/spezial/bib/maier2017efficient_poster.pdf" target="_blank">[poster]</a> <a href="/_media/spezial/bib/maier2017efficient_supplementary.pdf" target="_blank">[supplementary]</a>}}
 +}
 +
 +@inproceedings{GeipingDC017,
 +  author    = {J. Geiping and
 +               H. Dirks and
 +               D. Cremers and
 +               M. M{\"{o}}ller},
 +  editor    = {Marcello Pelillo and
 +               Edwin R. Hancock},
 +  title     = {Multiframe Motion Coupling for Video Super Resolution},
 +  booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition
 +               - 11th International Conference, {EMMCVPR} 2017, Venice, Italy, October
 +               30 - November 1, 2017, Revised Selected Papers},
 +  series    = {Lecture Notes in Computer Science},
 +  volume    = {10746},
 +  pages     = {123--138},
 +  publisher = {Springer},
 +  year      = {2017},
 } }
  
 @inproceedings{golyanik2017multiframe, @inproceedings{golyanik2017multiframe,
  title={Multiframe Scene Flow with Piecewise Rigid Motion},  title={Multiframe Scene Flow with Piecewise Rigid Motion},
- author={Golyanik, V. and Kim, K. and Maier, R. and Nie{\ss}ner, M. and Stricker, D. and Kautz, J.},+ author={V. Golyanik and K. Kim and R. Maier and M. Niessner and D. Stricker and J. Kautz},
  booktitle={International Conference on 3D Vision (3DV)},  booktitle={International Conference on 3D Vision (3DV)},
  year={2017},  year={2017},
  month={October},  month={October},
  address={Qingdao, China},  address={Qingdao, China},
 + award = {Spotlight Presentation},
   keywords={scene-flow,motion segmentation,rgb-d},   keywords={scene-flow,motion segmentation,rgb-d},
   note = {{<a href="/_media/spezial/bib/golyanik2017multiframe_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/golyanik2017multiframe_poster.pdf" target="_blank">[poster]</a>  <a href="/_media/spezial/bib/golyanik2017multiframe_supplementary.pdf" target="_blank">[supplementary]</a>}}   note = {{<a href="/_media/spezial/bib/golyanik2017multiframe_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/golyanik2017multiframe_poster.pdf" target="_blank">[poster]</a>  <a href="/_media/spezial/bib/golyanik2017multiframe_supplementary.pdf" target="_blank">[supplementary]</a>}}
Line 7945: Line 8277:
 @inproceedings{maier2017intrinsic3d, @inproceedings{maier2017intrinsic3d,
  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},  title={Intrinsic3D: High-Quality {3D} Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting},
- author={Maier, R. and Kim, K. and Cremers, D. and Kautz, J. and Nie{\ss}ner, M.},+ author={R. Maier and K. Kim and D. Cremers and J. Kautz and M. Niessner},
  booktitle={International Conference on Computer Vision (ICCV)},  booktitle={International Conference on Computer Vision (ICCV)},
  year={2017},  year={2017},
Line 7952: Line 8284:
   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},   keywords={rgb-d,reconstruction,3d-reconstruction,fusion,intrinsic3d},
   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a> <a href="https://github.com/NVlabs/intrinsic3d" target="_blank">[code]</a>}}   note = {{<a href="/_media/spezial/bib/maier2017intrinsic3d_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/maier2017intrinsic3d_poster.pdf" target="_blank">[poster]</a> <a href="/data/datasets/intrinsic3d" target="_blank">[dataset]</a> <a href="https://github.com/NVlabs/intrinsic3d" target="_blank">[code]</a>}}
-} 
- 
- 
-@article{Haefner2018, 
- title = {Photometric Depth Super-Resolution}, 
- author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, 
- journal = {{Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications}}, 
- year = {2018}, 
- titleurl = {haefner2018.pdf}, 
- note = {{<a href="/_media/spezial/bib/haefner2018supp.pdf" target="_blank">[supp]</a>} 
-{<a href="http://arxiv.org/abs/1809.10097" target="_blank">[arxiv]</a>}{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>}}, 
-keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, 
 } }
  
Line 7969: Line 8289:
  title = {Functional Maps Representation on Product Manifolds},  title = {Functional Maps Representation on Product Manifolds},
  author =  {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin},  author =  {Rodol\`a, Emanuele and L\"ahner, Zorah and Bronstein, Alex M. and Bronstein, Michael M. and Solomon, Justin},
- journal = {{Computer Graphics Forum (Proceedings Symposium on Geometry Processing (SGP))}},+ journal = {{Computer Graphics Forum}}
 + volume = 38, 
 + issue = 1,
  year = {2019},  year = {2019},
- note = {{<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}},+ note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}}, 
 +keywords = { Geometry Processing }, 
 +
 + 
 +@inproceedings{sang2020wacv, 
 +  title = {Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach}, 
 +  author =  {Sang, L. and Haefner, B. and Cremers, D.}, 
 +  booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)}, 
 +  month={March}, 
 +  address={Colorado, USA}, 
 +  year = {2020}, 
 +  doi="10.1109/WACV45572.2020.9093491", 
 +  eprint = {1912.06501}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  award = {Spotlight Presentation}, 
 +  titleurl = {sang2020wacv.pdf}, 
 +  note = { 
 +  {<a href="/_media/spezial/bib/sang2020wacv_poster.pdf" target="_blank">[poster]</a>
 +  {<a href="/_media/spezial/bib/sang2020wacv_video.mp4" target="_blank">[presentation]</a>}  
 +  {<a href="https://github.com/Sangluisme/MultiviewLightEnhancedDepthSR" target="_blank">[code]</a>
 +  {<a href="https://openaccess.thecvf.com/content_WACV_2020/html/Sang_Inferring_Super-Resolution_Depth_from_a_Moving_Light-Source_Enhanced_RGB-D_Sensor_WACV_2020_paper.html" target="_blank">[cvf]</a>
 +}, 
 +keywords = {3d-reconstruction,rgb-d,photometry}, 
 +
 + 
 +@inbook{maier2020rgbdvision, 
 + title={{RGB-D Vision}}, 
 + author={R. Maier and D. Cremers}, 
 + chapter={Encyclopedia of Robotics}, 
 + editor={Ang, M.H. and Khatib, O. and Siciliano, B.}, 
 + year={2020}, 
 + publisher={Springer Berlin Heidelberg}, 
 + address={Berlin, Heidelberg}, 
 + pages={1--11}, 
 + isbn={978-3-642-41610-1}, 
 + doi={10.1007/978-3-642-41610-1_109-1}, 
 + url={https://doi.org/10.1007/978-3-642-41610-1_109-1}, 
 +  keywords = {vslam}, 
 +
 + 
 +@inbook{brahimi2020springer, 
 +  title={On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting}, 
 +  author={Brahimi, Mohammed and Qu{\'e}au, Yvain and Haefner, Bjoern and Cremers, Daniel}, 
 +  editor="Durou, Jean-Denis and Falcone, Maurizio and Qu{\'e}au, Yvain and Tozza, Silvia", 
 +  booktitle={Advances in Photometric 3D-Reconstruction}, 
 +  year={2020}, 
 +  publisher={Springer International Publishing}, 
 +  address={Cham}, 
 +  pages={147--176}, 
 +  isbn={978-3-030-51866-0}, 
 +  doi={10.1007/978-3-030-51866-0_5}, 
 +  eprint = {1911.07268}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +  titleurl = {brahimi2020springer.pdf}, 
 +keywords = {photometry}, 
 +
 + 
 +@inproceedings{brahimi2022arxiv, 
 +  title = {{SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering}}, 
 +  author =  {Brahimi, Mohammed and Haefner, Bjoern and Yenamandra, Tarun and Goldluecke, Bastian and Cremers, Daniel}, 
 +  booktitle={{IEEE Winter Conference on Applications of Computer Vision (WACV)}}, 
 +  month={January}, 
 +  address={Hawaii, USA}, 
 +  year = {2024}, 
 +  eprint = {2212.04968}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  titleurl = {brahimi2022arxiv.pdf}, 
 +  note =  
 +  { 
 +  {<a href="/_media/spezial/bib/brahimi2022arxivsupp.pdf" target="_blank">[supp]</a>
 +  }, 
 +  keywords={d-reconstruction,photometry,deep learning,geometry processing}, 
 +
 + 
 + 
 +@inproceedings{DykeSLRABBBCFGG19, 
 +  author    = {R. Dyke and 
 +               C. Stride and 
 +               Y.{-}K. Lai and 
 +               P. L. Rosin and 
 +               M. Aubry and 
 +               A. Boyarski and 
 +               A. M. Bronstein and 
 +               M. M. Bronstein and 
 +               D. Cremers and 
 +               M. Fisher and 
 +               T. Groueix and 
 +               D. Guo and 
 +               V. G. Kim and 
 +               R. Kimmel and 
 +               Z. L{\"{a}}hner and 
 +               K. Li and 
 +               O. Litany and 
 +               T. Remez and 
 +               E. Rodol{\`{a}} and 
 +               B. C. Russell and 
 +               Y. Sahillioglu and 
 +               R. Slossberg and 
 +               G. K. L. Tam and 
 +               M. Vestner and 
 +               Z. Wu and 
 +               J. Yang}, 
 +  editor    = {Silvia Biasotti and 
 +               Guillaume Lavou{\'{e}} and 
 +               Remco C. Veltkamp}, 
 +  title     = {Shape Correspondence with Isometric and Non-Isometric Deformations}, 
 +  booktitle = {12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 
 +               2019, Genoa, Italy, May 5-6, 2019}, 
 +  pages     = {111--119}, 
 +  publisher = {Eurographics Association}, 
 +  year      = {2019}, 
 +  keywords = {Geometry Processing}, 
 +
 + 
 +@inproceedings{haefner20193dv, 
 +  title = {Photometric Segmentation: Simultaneous Photometric Stereo and Masking}, 
 +  author =  {Haefner, B. and Quéau, Y. and Cremers, D.}, 
 +  booktitle={International Conference on 3D Vision (3DV)}, 
 +  month={September}, 
 +  address={Québec City, Canada}, 
 +  year = {2019}, 
 +  doi="10.1109/3DV.2019.00033", 
 +  award = {Spotlight Presentation}, 
 +  titleurl = {haefner20193dv.pdf}, 
 +  note = { 
 +  {<a href="/_media/spezial/bib/haefner20193dvposter.pdf" target="_blank">[poster]</a>
 +  {<a href="/_media/spezial/bib/haefner20193dvslides.pdf" target="_blank">[slides]</a>
 +}, 
 +keywords = {photometry}, 
 +
 + 
 +@inproceedings{haefner20213dv, 
 +  title = {Recovering Real-world Reflectance Properties and Shading from HDR Imagery}, 
 +  author =  {B. Haefner and S. Green and A. Oursland and D. Andersen and M. Goesele and D. Cremers and R. Newcombe and T. Whelan}, 
 +  booktitle={International Conference on 3D Vision (3DV)}, 
 +  year = {2021}, 
 +  doi="10.1109/3DV53792.2021.00115", 
 +  titleurl = {haefner20213dv.pdf}, 
 +  award = {Spotlight Presentation}, 
 +  note = { 
 +  {<a href="/_media/spezial/bib/haefner20213dvsupp.pdf" target="_blank">[supp]</a>
 +  {<a href="/_media/spezial/bib/haefner20213dvslides.pdf" target="_blank">[slides]</a>
 +  {<a href="/_media/spezial/bib/haefner20213dvposter.pdf" target="_blank">[poster]</a>
 +  {<a href="https://research.fb.com/publications/recovering-real-world-reflectance-properties-and-shading-from-hdr-imagery/" target="_blank">[FB Research]</a>
 +  {<a href="https://youtu.be/F6uA5wfXXyw" target="_blank">[video]</a>
 +}, 
 +keywords = {photometry}, 
 +
 + 
 +@inproceedings{haefner2019iccv, 
 +  title = {Variational Uncalibrated Photometric Stereo under General Lighting}, 
 +  author =  {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.}, 
 +  booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)}, 
 +  month={October}, 
 +  address={Seoul, South Korea}, 
 +  eprint = {1904.03942}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  year = {2019}, 
 +  doi="10.1109/ICCV.2019.00863", 
 +  titleurl = {haefner2019iccv.pdf}, 
 +  note = { 
 +  {<a href="/_media/spezial/bib/haefner2019iccvsupp.pdf" target="_blank">[supp]</a>
 +  {<a href="/_media/spezial/bib/haefner2019iccvposter.pdf" target="_blank">[poster]</a>
 +  {<a href="https://github.com/zhenzhangye/general_ups" target="_blank">[matlab]</a>
 +  {<a href="https://github.com/BjoernHaefner/general_ups_python" target="_blank">[python]</a>
 +  {<a href="http://openaccess.thecvf.com/content_ICCV_2019/html/Haefner_Variational_Uncalibrated_Photometric_Stereo_Under_General_Lighting_ICCV_2019_paper.html" target="_blank">[cvf]</a>  
 +  }, 
 +  keywords={d-reconstruction,photometry,variational}, 
 +
 + 
 +@article{laude2020jota, 
 + title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity}, 
 + author =  {Laude, E. and Ochs, P. and Cremers, D.}, 
 + journal = jota, 
 +volume={184}, 
 + number={3}, 
 + pages={724-761}, 
 + year = {2020}, 
 +  eprint = {1907.04306}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {math.OC}, 
 +
 + 
 +@article{haefner2020tpami, 
 +  title = {Photometric Depth Super-Resolution}, 
 +  author = {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.}, 
 +  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}, 
 +  year={2020}, 
 +  volume={42}, 
 +  number={10}, 
 +  pages={2453-2464}, 
 +  doi="10.1109/TPAMI.2019.2923621", 
 +  eprint = {1809.10097}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +titleurl = {haefner2020tpami.pdf}, 
 + note = { 
 +{<a href="/_media/spezial/bib/haefner2020tpamisupp.pdf" target="_blank">[supp]</a>
 +{<a href="https://vision.in.tum.de/data/datasets/photometricdepthsr" target="_blank">[project page]</a>
 +}, 
 +keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, 
 +
 + 
 +@article{MoellerBSC15, 
 +  author    = {M. M{\"{o}}ller and 
 +               M. Benning and 
 +               C. Sch{\"{o}}nlieb and 
 +               D. Cremers}, 
 +  title     = {Variational Depth From Focus Reconstruction}, 
 +  journal   = {{IEEE} Trans. Image Process.}, 
 +  volume    = {24}, 
 +  number    = {12}, 
 +  pages     = {5369--5378}, 
 +  year      = {2015},
 } }
  
  
-@inproceedings{Haefner2018CVPR,+@inproceedings{haefner2018cvpr,
  title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},  title = {Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading},
  author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.},  author =  {Haefner, B. and Quéau, Y. and Möllenhoff, T. and Cremers, D.},
- booktitle = {I{EEE} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition+ booktitle = {I{EEE}/{CVF} {C}onference on {C}omputer {V}ision and {P}attern {R}ecognition
     (CVPR)},     (CVPR)},
  year = {2018},  year = {2018},
 + doi = "10.1109/CVPR.2018.00025",
  titleurl = {haefner2018cvpr.pdf},  titleurl = {haefner2018cvpr.pdf},
-note = {{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} {<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>+note = { 
-{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>}{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>}}, +{<a href="/_media/spezial/bib/haefner2018cvprsupp.pdf" target="_blank">[supp]</a>} 
- award = {Spotlight Presentation},+{<a href="/_media/spezial/bib/haefner2018cvprposter.pdf" target="_blank">[poster]</a>
 +{<a href="/_media/spezial/bib/haefner2018cvprslides.pdf" target="_blank">[slides]</a>
 +{<a href="https://github.com/BjoernHaefner/DepthSRfromShading" target="_blank">[code]</a>
 +{<a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html" target="_blank">[cvf]</a>} 
 +{<a href="https://youtu.be/WrEKJeK-Wow?t=52m25s" target="_blank">[video]</a>} 
 +}, 
 +award = {Spotlight Presentation},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
  
  
-@inproceedings{Peng2017,+@inproceedings{peng2017,
  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},  title = {Depth Super-Resolution Meets Uncalibrated Photometric Stereo},
  author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},  author =  {Peng, S. and Haefner, B. and Quéau, Y. and Cremers, D.},
- booktitle = {{International Conference on Computer Vision Workshops (ICCVW)}},+ booktitle = {{IEEE International Conference on Computer Vision Workshops (ICCVW)}},
  year = {2017},  year = {2017},
 + doi="10.1109/ICCVW.2017.349",
 +  eprint = {1708.00411},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},  award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision},
  titleurl = {peng2017iccvw.pdf},  titleurl = {peng2017iccvw.pdf},
- note = {{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>,<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>}},,+ note = { 
 +{<a href="https://github.com/pengsongyou/SRmeetsPS" target="_blank">[code]</a>}{<a href="/_media/spezial/bib/peng2017slides.pdf" target="_blank">[slides]</a>
 +{<a href="http://openaccess.thecvf.com/content_ICCV_2017_workshops/w43/html/Peng_Depth_Super-Resolution_Meets_ICCV_2017_paper.html" target="_blank">[cvf]</a>} 
 +},
 keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr}, keywords={rgb-d,reconstruction,3d-reconstruction,photometry,variational,super-resolution,photometricdepthsr},
 } }
  
 +
 +@INPROCEEDINGS{yen2019SDPIK,
 +  author={T. Yenamandra and F. Bernard and J. Wang and F. Mueller and C. Theobalt},
 +  booktitle={2019 International Conference on 3D Vision (3DV)}, 
 +  title={Convex Optimisation for Inverse Kinematics}, 
 +  year={2019},
 +  pages={318-327},
 +  award = {Oral Presentation}}
  
 @inproceedings{wang2017stereoDSO, @inproceedings{wang2017stereoDSO,
Line 8074: Line 8635:
  note = {{<a href="https://arxiv.org/abs/1709.05965" target="_blank">[arxiv]</a>,<a href="https://github.com/yqueau/normal_integration" target="_blank">[codes]</a>}},  note = {{<a href="https://arxiv.org/abs/1709.05965" target="_blank">[arxiv]</a>,<a href="https://github.com/yqueau/normal_integration" target="_blank">[codes]</a>}},
  doi = {10.1007/s10851-017-0777-6}  doi = {10.1007/s10851-017-0777-6}
 +}
 +
 +@article{RodolaMC17,
 +  author    = {Emanuele Rodol{\`{a}} and
 +               Michael M{\"{o}}ller and
 +               Daniel Cremers},
 +  title     = {Regularized Pointwise Map Recovery from Functional Correspondence},
 +  journal   = {Comput. Graph. Forum},
 +  volume    = {36},
 +  number    = {8},
 +  pages     = {700--711},
 +  year      = {2017},
 +  keywords = {Geometry Processing}
 +}
 +
 +@article{Cremers17,
 +  author    = {Daniel Cremers},
 +  title     = {Computer Vision f{\"{u}}r 3-D-Rekonstruktion - Vom Nischenthema zum
 +               Mainstream},
 +  journal   = {Informatik Spektrum},
 +  volume    = {40},
 +  number    = {2},
 +  pages     = {205--209},
 +  year      = {2017},
 +}
 +
 +@article{BringmannCKM18,
 +  author    = {Bj{\"{o}}rn Bringmann and
 +               Daniel Cremers and
 +               Felix Krahmer and
 +               Michael M{\"{o}}ller},
 +  title     = {The homotopy method revisited: Computing solution paths of L1-regularized
 +               problems},
 +  journal   = {Math. Comput.},
 +  volume    = {87},
 +  number    = {313},
 +  pages     = {2343--2364},
 +  year      = {2018},
 } }
  
Line 8080: Line 8679:
  title = {{Variational Reflectance Estimation from Multi-view Images}},  title = {{Variational Reflectance Estimation from Multi-view Images}},
  doi = {10.1007/s10851-018-0809-x},  doi = {10.1007/s10851-018-0809-x},
 +  volume    = {60},
 +  number    = {9},
 +  pages     = {1527--1546},
  year = "2018",  year = "2018",
  titleurl = "JMIV_reflectance.pdf",  titleurl = "JMIV_reflectance.pdf",
Line 8110: Line 8712:
   note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}},    note = {{This paper was also selected by ICRA'18 for presentation at the conference.<a href="https://arxiv.org/abs/1710.02081" target="_blank">[arxiv]<a href="https://youtu.be/nQHMG0c6Iew" target="_blank">[video]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[code]<a href="https://vision.in.tum.de/research/vslam/photometric-calibration" target="_blank">[project]</a>}}, 
   award = {ICRA'18 Best Vision Paper Award - Finalist}   award = {ICRA'18 Best Vision Paper Award - Finalist}
 +}
 +
 +@InProceedings{laude-et-al-transductive,
 +  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers",
 +  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s",
 +  booktitle=cvpr,
 +  year = "2018",
 +  titleurl = {laude-2018-discrete-continuous.pdf}
 +}
 +
 +@inproceedings{DomokosSC18,
 +  author    = {Csaba Domokos and
 +               Frank R. Schmidt and
 +               Daniel Cremers},
 +  editor    = {Vittorio Ferrari and
 +               Martial Hebert and
 +               Cristian Sminchisescu and
 +               Yair Weiss},
 +  title     = {{MRF} Optimization with Separable Convex Prior on Partially Ordered
 +               Labels},
 +  booktitle = {Computer Vision - {ECCV} 2018 - 15th European Conference, Munich,
 +               Germany, September 8-14, 2018, Proceedings, Part {VIII}},
 +  series    = {Lecture Notes in Computer Science},
 +  volume    = {11212},
 +  pages     = {341--356},
 +  publisher = {Springer},
 +  year      = {2018},
 } }
  
Line 8134: Line 8763:
   title = {A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching},   title = {A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching},
   booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},   booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
-  year = {2017}+  year = {2017}, 
 +  keywords = {Geometry Processing}
 } }
  
-@inproceedings{Kukacka-et-al-2017,+@inproceedings{SconaJPFC18, 
 +  author    = {Raluca Scona and 
 +               Mariano Jaimez and 
 +               Yvan R. Petillot and 
 +               Maurice Fallon and 
 +               Daniel Cremers}, 
 +  title     = {StaticFusion: Background Reconstruction for Dense {RGB-D} {SLAM} in 
 +               Dynamic Environments}, 
 +  booktitle = {2018 {IEEE} International Conference on Robotics and Automation, {ICRA} 
 +               2018, Brisbane, Australia, May 21-25, 2018}, 
 +  pages     = {1--9}, 
 +  publisher = {{IEEE}}, 
 +  year      = {2018}, 
 +  keywords = {vslam}, 
 +
 + 
 + 
 +@article{Kukacka-et-al-2017,
   author = {J. Kukačka and V. Golkov and D. Cremers},   author = {J. Kukačka and V. Golkov and D. Cremers},
   title = {Regularization for Deep Learning: A Taxonomy},   title = {Regularization for Deep Learning: A Taxonomy},
   year = {2017},   year = {2017},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1710.10686}, 
-  note = {{<a href="https://arxiv.org/abs/1710.10686">arXiv:1710.10686</a>}}, +  eprint = {1710.10686}, 
-  booktitle = {ArXiv preprint}, +  eprinttype = {arXiv}, 
-  keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization, deeplearning},+  keywords = {deep learning, neural networks, regularization, data augmentation, network architecture, loss function, dropout, residual learning, optimization},
 } }
  
 @inproceedings{Golkov-et-al-ismrm2018-novelty, @inproceedings{Golkov-et-al-ismrm2018-novelty,
   author = {V. Golkov and A. Vasilev and F. Pasa and I. Lipp and W. Boubaker and E. Sgarlata and F. Pfeiffer and V. Tomassini and D. K. Jones and D. Cremers},   author = {V. Golkov and A. Vasilev and F. Pasa and I. Lipp and W. Boubaker and E. Sgarlata and F. Pfeiffer and V. Tomassini and D. K. Jones and D. Cremers},
-  title = {{q}-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis},+  title = {{q-SpaceNovelty Detection in Short Diffusion {MRIScans of Multiple Sclerosis},
   year = {2018},   year = {2018},
-  booktitle = ismrm,+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
   keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},   keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation},
 +}
 +
 +@inproceedings{Vasilev-et-al-2018,
 +  author = {A. Vasilev and V. Golkov and M. Meissner and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
 +  title = {{q}-{S}pace Novelty Detection with Variational Autoencoders},
 +  year = {2019},
 +  booktitle = {{MICCAI} 2019 International Workshop on Computational Diffusion {MRI}},
 +  eprint = {1806.02997},
 +  eprinttype = {arXiv},
 +  keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI},
 +  award = {Oral Presentation}
 } }
  
 @inproceedings{Swazinna-et-al-ismrm2019, @inproceedings{Swazinna-et-al-ismrm2019,
   author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},   author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers},
-  title = {Negative-Unlabeled Learning for Diffusion MRI},+  title = {Negative-Unlabeled Learning for Diffusion {MRI}},
   year = {2019},   year = {2019},
-  booktitle = ismrm+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting}
-  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization, deeplearning},+  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization},
 } }
  
 @inproceedings{Golkov-et-al-ismrm2018-global, @inproceedings{Golkov-et-al-ismrm2018-global,
   author = {V. Golkov and P. Swazinna and M. M. Schmitt and Q. A. Khan and C. M. W. Tax and M. Serahlazau and F. Pasa and F. Pfeiffer and G. J. Biessels and A. Leemans and D. Cremers},   author = {V. Golkov and P. Swazinna and M. M. Schmitt and Q. A. Khan and C. M. W. Tax and M. Serahlazau and F. Pasa and F. Pfeiffer and G. J. Biessels and A. Leemans and D. Cremers},
-  title = {{q}-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization},+  title = {{q-SpaceDeep Learning for {A}lzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization},
   year = {2018},   year = {2018},
-  booktitle = ismrm+  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting}
-  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, localization, deeplearning},+  keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, localization},
 } }
  
  
-@inproceedings{Do-et-al-2018-pre-miRNA,+@article{Do-et-al-2018-pre-miRNA,
   author = {B. T. Do and V. Golkov and G. E. G\"urel and D. Cremers},   author = {B. T. Do and V. Golkov and G. E. G\"urel and D. Cremers},
-  title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks},+  title = {Precursor {microRNAIdentification Using Deep Convolutional Neural Networks},
   year = {2018},   year = {2018},
 %  howpublished = {Preprint}, %  howpublished = {Preprint},
   note = {{<a href="https://www.biorxiv.org/content/early/2018/09/16/414656">bioRxiv:414656</a>}},   note = {{<a href="https://www.biorxiv.org/content/early/2018/09/16/414656">bioRxiv:414656</a>}},
-  booktitle = {bioRxiv preprint}, +  journal = {bioRxiv preprint 414656}, 
-  keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, biology, gene regulation},+  keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, biology, gene regulation},
 } }
  
-@inproceedings{Aljalbout-et-al-2018, +@article{Golkov-et-al-2020-ROC, 
-  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers},+  author = {V. Golkov and A. Becker and D. T. Plop and D. \v{C}uturilo and N. Davoudi and J. Mendenhall and R. Moretti and J. Meiler and D. Cremers}, 
 +  title = {Deep Learning for Virtual Screening: Five Reasons to Use {ROC} Cost Functions}, 
 +  year = {2020}, 
 +  journal = {arXiv preprint arXiv:2007.07029}, 
 +  eprint = {2007.07029}, 
 +  eprinttype = {arXiv},   
 +  keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification, receiver operating characteristic, biology, chemistry}, 
 +
 + 
 +@article{Aljalbout-et-al-2018, 
 +  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and M. Strobel and D. Cremers},
   title = {Clustering with Deep Learning: Taxonomy and New Methods},   title = {Clustering with Deep Learning: Taxonomy and New Methods},
   year = {2018},   year = {2018},
-%  howpublished = {Preprint}, +  journal = {arXiv preprint arXiv:1801.07648}, 
-  note = {{<a href="https://arxiv.org/abs/1801.07648">arXiv:1801.07648</a>}}, +  eprint = {1801.07648}, 
-  booktitle = {ArXiv preprint}, +  eprinttype = {arXiv},   
-  keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning},+  keywords = {deep learning, clustering, cluster analysis, neural networks},
 } }
  
Line 8199: Line 8867:
   month = "October",   month = "October",
   titleurl = {haeusser18associative.pdf},   titleurl = {haeusser18associative.pdf},
-  keywords={Clustering, Embeddings, deeplearning, associative_learning},+  keywords={Clustering, Embeddings, deep learning, associative_learning},
 } }
  
- +@article{mayer18synthetic,
- +
- +
- +
- +
- +
- +
-@InProceedings{mayer18synthetic,+
 author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox}, author = {Nikolaus Mayer and Eddy Ilg and Philipp Fischer and Caner Hazirbas and Daniel Cremers and Alexey Dosovitskiy and Thomas Brox},
 title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?}, title = {What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?},
 booktitle= ijcv, booktitle= ijcv,
-year = {2018},+ volume    = {41}, 
 +  number    = {8}, 
 +  pages     = {1797--1812}, 
 +  year      = {2019}, 
 + year = {2018},
 month = {September}, month = {September},
 eprint = {arXiv:1801.06397}, eprint = {arXiv:1801.06397},
 note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}}, note = {{<a href="https://arxiv.org/abs/1801.06397" target="_blank">arxiv</a>}},
-keywords = {deeplearning}+keywords = {deep learning, optical-flow}
 } }
  
Line 8242: Line 8907:
 booktitle={{IEEE/RSJ} Int. Conference on Intelligent Robots and Systems, booktitle={{IEEE/RSJ} Int. Conference on Intelligent Robots and Systems,
 {IROS}}, {IROS}},
-year={2017}+year={2017}
 +keywords = {vo, vio, vslam},
 } }
  
Line 8275: Line 8941:
 } }
  
-@InProceedings{laude-et-al-transductive, +
-  author = "E. Laude and J.-H. Lange and J. Sch{\"u}pfer and C. Domokos and L. Leal-Taix{\'e} and F. R. Schmidt and B. Andres and D. Cremers", +
-  title = "Discrete-Continuous {ADMM} for Transductive Inference in Higher-Order {MRF}s", +
-  booktitle=cvpr, +
-  year = "2018", +
-  titleurl = {laude-2018-discrete-continuous.pdf} +
-}+
 @InProceedings{ @InProceedings{
   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",   author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel",
Line 8295: Line 8955:
   month = "May",   month = "May",
   note = {{<a href="/_media/research/vslam/vi-dso/vi-dso-supplementary-material.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/GoqnXDS7jbA" target="_blank">[video]</a>}{<a href="https://arxiv.org/abs/1804.05625" target="_blank">[arxiv]</a>}},   note = {{<a href="/_media/research/vslam/vi-dso/vi-dso-supplementary-material.pdf" target="_blank">[supplementary]</a>}{<a href="https://youtu.be/GoqnXDS7jbA" target="_blank">[video]</a>}{<a href="https://arxiv.org/abs/1804.05625" target="_blank">[arxiv]</a>}},
-  keywords={dso, vi-dso}+  keywords={dso, vi-dso, vslam}
 } }
  
Line 8306: Line 8966:
   month = "October",   month = "October",
   note = {{<a href="https://arxiv.org/abs/1804.06120" target="_blank">[arxiv]</a>}},   note = {{<a href="https://arxiv.org/abs/1804.06120" target="_blank">[arxiv]</a>}},
-  keywords = tumvi+  keywords = {tumvi, vo, vio ,vslam, dataset}
 } }
  
 +@InProceedings{schubert2019vidsors,
 +  author = "D. Schubert and N. Demmel and L. von Stumberg and V. Usenko and  D. Cremers",
 +  title = "Rolling-Shutter Modelling for Visual-Inertial Odometry",
 +  booktitle = iros,
 +  year = "2019",
 +  month = "November",
 +  arXiv = "arXiv: 1911.01015",
 +  note = {{<a href="https://arxiv.org/abs/1911.01015" target="_blank">[arxiv]</a>}},
 +  keywords = {vidsors, vo, vio ,vslam}
 +}
  
  
Line 8319: Line 8989:
   month = "October",   month = "October",
   note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}{<a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{<a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},   note = {{<a href="https://arxiv.org/abs/1808.01111" target="_blank">[arxiv]</a>}{<a href="https://youtu.be/LEvOSzyZUvc" target="_blank">[video]</a>}{<a href="https://github.com/tum-vision/LDSO" target="_blank">[code]</a>}{<a href="https://vision.in.tum.de/research/vslam/ldso" target="_blank">[project]</a>}},
-  keywords = {dso, ldso}+  keywords = {dso, ldso, vslam}
 } }
  
Line 8329: Line 8999:
   year={2010},   year={2010},
   organization={IEEE}   organization={IEEE}
-} 
- 
-@inproceedings{Vasilev-et-al-2018, 
-  author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, 
-  title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, 
-  year = {2018}, 
-%  howpublished = {Preprint}, 
-  note = {{<a href="https://arxiv.org/abs/1806.02997">arXiv:1806.02997</a>}}, 
-  booktitle = {ArXiv preprint}, 
-  keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, biomed}, 
 } }
  
Line 8348: Line 9008:
   publisher = {IEEE},   publisher = {IEEE},
   note = {{<a href="https://arxiv.org/abs/1808.02775" target="_blank">[arxiv]</a>}},   note = {{<a href="https://arxiv.org/abs/1808.02775" target="_blank">[arxiv]</a>}},
-  year = {2018}+  year = {2018}, 
 +  keywords = {dso, vslam}
 } }
  
-@InProceedings{eisenberger2018divfree,+@inproceedings{eisenberger2019divfree,
   author = "M. Eisenberger and Z. L\"ahner and D. Cremers",   author = "M. Eisenberger and Z. L\"ahner and D. Cremers",
-  title = "Divergence-Free Shape Interpolation and Correspondence", +  title = "Divergence-Free Shape Correspondence by Deformation", 
-  booktitle = "arXiv:1806.10417", +  booktitle = "Computer Graphics Forum", 
-  arXiv = " arXiv:1806.10417", +  year = "2019", 
-  year "2018"+  volume={38}, 
-  month = "Juni",+  number={5}, 
 +  pages={1-12}
 +  month = "July",
   note = {{<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},   note = {{<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},
 +  keywords = { Geometry Processing },
 } }
  
Line 8368: Line 9032:
   month = "September",   month = "September",
   award = {Oral Presentation},    award = {Oral Presentation}, 
- note = {{<a href="https://research.fb.com/publications/deepwrinkles-accurate-and-realistic-clothing-modeling/" target="_blank">[Homepage]</a>, <a href="https://www.youtube.com/watch?v=g2hmNE1AxjQ&list=PLqHzsfkXuhrvsjPdysCD72D9iFLH-VFgT&index=4" target="_blank">[Oral Presentation]</a>}}+ note = {{<a href="https://research.fb.com/publications/deepwrinkles-accurate-and-realistic-clothing-modeling/" target="_blank">[Homepage]</a>, <a href="https://www.youtube.com/watch?v=g2hmNE1AxjQ&list=PLqHzsfkXuhrvsjPdysCD72D9iFLH-VFgT&index=4" target="_blank">[Oral Presentation]</a>}}
 +keywords = { Geometry Processing },
 } }
  
Line 8378: Line 9043:
   month = "September",   month = "September",
   award = {Oral Presentation},   award = {Oral Presentation},
-  note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/sLZOeC9z_tw"target="_blank">[video]</a>},{<a href="https://youtu.be/2_nDLpGtY1Y"target="_blank">[talk]</a>},{<a href="https://vision.in.tum.de/research/vslam/dvso" target="_blank">[project]</a>}}, +  note = {{<a href="https://arxiv.org/abs/1807.02570" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/yang2018dvso-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://vision.in.tum.de/research/vslam/dvso" target="_blank">[project]</a>}}, 
-  keywords = {dso, dvso, deep learning, deeplearning, monocular depth estimation, semi-supervised learning, slam, visual odometry}+  keywords = {dso, dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry, vslam}
 } }
  
Line 8390: Line 9055:
   award = {Oral Presentation},   award = {Oral Presentation},
   note = {{<a href="/_media/spezial/bib/schubert2018drso_supplementary.pdf"target="_blank">[supplementary]</a><a href="https://arxiv.org/abs/1808.00558" target="_blank">[arxiv]</a>}},   note = {{<a href="/_media/spezial/bib/schubert2018drso_supplementary.pdf"target="_blank">[supplementary]</a><a href="https://arxiv.org/abs/1808.00558" target="_blank">[arxiv]</a>}},
 +  keywords = {dso, vslam}
 } }
  
Line 8402: Line 9068:
   eprintclass = {cs.CV},   eprintclass = {cs.CV},
   note = {{<a href="https://arxiv.org/abs/1807.08957" target="_blank">[arxiv]</a>}},   note = {{<a href="https://arxiv.org/abs/1807.08957" target="_blank">[arxiv]</a>}},
-  keywords = double-sphere+  keywords = {double-sphere, vslam}
 }   }  
  
Line 8415: Line 9081:
 } }
  
-@InProceedings{sundermeyer2018eccv,+@article{laude2021lifting, 
 +  title        = {Lifting the Convex Conjugate in Lagrangian Relaxations: {A} Tractable 
 +                  Approach for Continuous Markov Random Fields}, 
 +  author       = {Hartmut Bauermeister and 
 +                  Emanuel Laude and 
 +                  Thomas M{\"{o}}llenhoff and 
 +                  Michael M{\"{o}}ller and 
 +                  Daniel Cremers}, 
 +  journal      = {{SIAM} J. Imaging Sci.}, 
 +  volume       = {15}, 
 +  number       = {3}, 
 +  pages        = {1253--1281}, 
 +  year         = {2022},    
 +      keywords={Markov random fields, moment relaxation, sum of squares, polynomial optimization, generalized conjugacy, optimal transport} 
 +
 +@InProceedings{sundermeyer18implicit,
   author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel},   author = {M. Sundermeyer and Z. Marton and M. Durner and M. Brucker and R. Triebel},
   title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},   title = {Implicit 3D Orientation Learning for 6D Object Detection from RGB Images},
Line 8424: Line 9105:
 } }
  
-@InProceedings{denninger18iros,+@InProceedings{denninger18persistent,
  author = {M. Denninger and R. Triebel},  author = {M. Denninger and R. Triebel},
  title = {Persistent Anytime Learning of Objects from Unseen Classes },  title = {Persistent Anytime Learning of Objects from Unseen Classes },
Line 8433: Line 9114:
   award = {Best Cognitive Robotics Paper Finalist},     award = {Best Cognitive Robotics Paper Finalist},  
   }   }
-@InProceedings{grixa18iros,+@InProceedings{grixa18appearance,
  author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel},  author = {I. Grixa and P. Schulz and W. St\"urzl and R. Triebel},
  title = {Appearance-Based Along-Route Localization for Planetary Missions},  title = {Appearance-Based Along-Route Localization for Planetary Missions},
Line 8461: Line 9142:
   topic = "Shape Analysis",   topic = "Shape Analysis",
   award = {Received the Best Paper Award at 3DV 2018},   award = {Received the Best Paper Award at 3DV 2018},
-  note = {{<a href="https://bitbucket.org/ginie/subdivision_surfaces_3dv2018/src/master/" target="_blank">[Code]</a>}}+  note = {{<a href="https://bitbucket.org/ginie/subdivision_surfaces_3dv2018/src/master/" target="_blank">[Code]</a>}}, 
 +  keywords = {Geometry Processing}
  
 } }
Line 8482: Line 9164:
 } }
  
-@article{tjaden2018region,+@article{tjaden2019region,
   title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking},   title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking},
   author={Tjaden, Henning and Schwanecke, Ulrich and Sch{\"o}mer, Elmar and Cremers, Daniel},   author={Tjaden, Henning and Schwanecke, Ulrich and Sch{\"o}mer, Elmar and Cremers, Daniel},
   journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},   journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
-  year={2018},+  volume    = {41}, 
 +  number    = {8}, 
 +  pages     = {1797--1812}, 
 +  year      = {2019},
   titleurl = {tjaden_et_al_pami18.pdf}   titleurl = {tjaden_et_al_pami18.pdf}
 } }
  
 @inproceedings{wenzel18corl, @inproceedings{wenzel18corl,
-author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé}, +author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taix\'{e}}, 
-booktitle = {Conference on Robot Learning (CoRL)}, +booktitle = {Conference on Robot Learning ({CoRL})}, 
-title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}},+title = {Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using {GANs}},
 year = {2018}, year = {2018},
-note = {{<a href="https://arxiv.org/abs/1807.01001" target="_blank">[arXiv]</a><a href="https://www.youtube.com/playlist?list=PLbT2smuiIncsR_s9YA6KFpsa8gMwus5u7" target="_blank">[videos]</a>}}+ keywords = {deep learning}, 
 +note = {{<a href="https://arxiv.org/abs/1807.01001" target="_blank">[arXiv]</a><a href="https://www.youtube.com/playlist?list=PLbT2smuiIncsR_s9YA6KFpsa8gMwus5u7" target="_blank">[videos]</a><a href="/_media/spezial/bib/wenzel18corl_poster.pdf" target="_blank">[poster]</a>}}
 } }
  
-@article{Frerix2019+@InProceedings{Frerix2020
-  author = "Thomas Frerix and Matthias Nie{\ss}ner and Daniel Cremers"+  author = {Frerix, Thomas and Nie{\ss}ner, Matthias and Cremers, Daniel}
-  title = "Linear Inequality Constraints for Neural Network Activations"+  title = {Homogeneous Linear Inequality Constraints for Neural Network Activations}
-  journal "preprint"+  booktitle {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}
-  primaryClass = "cs.LG", +  year = {2020}, 
-  year = "2019", +  note = {<a href="https://openaccess.thecvf.com/content_CVPRW_2020/html/w45/Frerix_Homogeneous_Linear_Inequality_Constraints_for_Neural_Network_Activations_CVPRW_2020_paper.html">URL</a><a href="https://github.com/tfrerix/constrained-nets">code</a>
-  note = {{<a href="https://arxiv.org/abs/1902.01785">arXiv</a>}}+
 + 
 +@inproceedings{Frerix2021
 +title   {Variational Data Assimilation with a Learned Inverse Observation Operator}, 
 +author =       {Frerix, Thomas and Kochkov, Dmitrii and Smith, Jamie and Cremers, Daniel and Brenner, Michael and Hoyer, Stephan}, 
 +booktitle = {Proceedings of the 38th International Conference on Machine Learning (ICML)}, 
 +year = {2021}, 
 +note = {<a href="http://proceedings.mlr.press/v139/frerix21a.html">URL</a>, <a href="https://github.com/googleinterns/invobs-data-assimilation">code</a>}
 } }
  
Line 8514: Line 9207:
  address = "München",  address = "München",
  year = 2019,  year = 2019,
-        note = {{<a href="http://mediatum.ub.tum.de/?id=1454207">library link</a>}}+  note = {{<a href="http://mediatum.ub.tum.de/?id=1454207">library link</a>}
 +  keywords={vslam}, 
 +  }
 } }
  
 +@article{roy2019noninvasive,
 + title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis},
 + author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe},
 + journal={BioMed Research International (BMRI)},
 + year={2019},
 + month={May},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,3d-scanning,medical,medical imaging},
 +  note = {{<a href="http://downloads.hindawi.com/journals/bmri/2019/4715720.pdf" target="_blank">[pdf]</a>}}
 +}
  
 +@inproceedings{bylow2019combining,
 + title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
 + author={E. Bylow and R. Maier and F. Kahl and C. Olsson},
 + booktitle={Scandinavian Conference on Image Analysis (SCIA)},
 + year={2019},
 + month={June},
 + address={Norrk{\"o}ping, Sweden},
 +  keywords={rgb-d,reconstruction,3d-reconstruction,photometric-stereo},
 +  award = {Oral Presentation, received the SCIA 2019 Honourable Mention award},
 +  note = {{<a href="/_media/spezial/bib/bylow2019combining_slides.pdf" target="_blank">[slides]</a> <a href="/_media/spezial/bib/bylow2019combining_poster.pdf" target="_blank">[poster]</a>}}
 +}
 +
 +@InProceedings{laude-wu-cremers-aistats-19,
 +  author = "E. Laude and T. Wu and D. Cremers",
 +  title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems},
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = "2019",
 +  titleurl = {laude-wu-cremers-aistats-19.pdf}
 +}
 +
 +@InProceedings{moellenh-cvpr-19,
 +  author = {T. M{\"o}llenhoff and D. Cremers},
 +  title = {Lifting Vectorial Variational Problems: A Natural Formulation based on
 +Geometric Measure Theory and Discrete Exterior Calculus},
 +  booktitle=cvpr,
 +  year = "2019",
 +  titleurl = {moellenh-cvpr-19.pdf},
 +  award = {Oral Presentation},
 +  note = {{<a href="https://arxiv.org/abs/1905.00851">arXiv:1905.00851</a>}, {<a href="https://youtu.be/IyPQqqGPHws?t=4704">talk</a>}}
 +}
 +
 +@article{usenko19nfr,
 +  author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",
 +  title = "Visual-Inertial Mapping with Non-Linear Factor Recovery",
 +  journal = {IEEE Robotics and Automation Letters (RA-L) & Int. Conference on Intelligent Robotics and Automation (ICRA)},
 +  publisher = {IEEE},
 +  year={2020},
 +  volume={5},
 +  number={2},
 +  pages={422-429},
 +  keywords={Simultaneous localization and mapping;sensor fusion},
 +  doi={10.1109/LRA.2019.2961227},
 +  note = {{<a href="https://arxiv.org/abs/1904.06504" target="_blank">[arxiv]</a>}},
 +  keywords = {nfr, vo, vio, vslam}
 +}
 +
 +@Article{Pasa-et-al-2019,
 +author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer},
 +title={Efficient Deep Network Architectures for Fast Chest {X}-Ray Tuberculosis Screening and Visualization},
 +journal={Scientific Reports},
 +year={2019},
 +volume={9},
 +number={1},
 +pages={6268},
 +issn={2045-2322},
 +doi={10.1038/s41598-019-42557-4},
 +url={https://www.nature.com/articles/s41598-019-42557-4},
 +keywords={medical imaging, deep learning}
 +}
 +
 +@InProceedings{wang2020directshape,
 +  author={R. Wang and N. Yang and J. Stueckler and D. Cremers},
 +  title={DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation},
 +  booktitle={Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
 +  year={2020},
 +  note={{<a href="https://youtu.be/QqP6zdx5OKw" target="_blank">[video]</a><a href="https://youtu.be/P_9fJa-PA9M" target="_blank">[presentation]</a><a href="https://vision.in.tum.de/research/vslam/direct-shape" target="_blank">[project page]</a><a href="/_media/research/vslam/direct-shape/DirectShape_supp.pdf" target="_blank">[supplementary]</a><a href="https://arxiv.org/abs/1904.10097" target="_blank">[arxiv]</a>}},
 +  keywords={stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding, direct shape}
 +}
 +
 +@article{Schuchardt-et-al-2019,
 +  author = {J. Schuchardt and V. Golkov and D. Cremers},
 +  title = {Learning to Evolve},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:1905.03389},
 +  eprint = {1905.03389},
 +  eprinttype = {arXiv},
 +  keywords = {evolutionary algorithms, evolutionary computation, genetic algorithms, deep learning, neural networks, reinforcement learning},
 +}
 +
 +@InProceedings{flatgan-icml-19,
 +  author = "T. M{\"o}llenhoff and D. Cremers",
 +  title = "Flat Metric Minimization with Applications in Generative Modeling",
 +  booktitle = "International Conference on Machine Learning (ICML)",
 +  primaryClass = "cs.LG",
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.04730">arXiv:1905.04730</a>, <a href="https://github.com/moellenh/flatgan">code</a>}, <a href="https://www.facebook.com/icml.imls/videos/713631379054038/">talk</a>},
 +  award = {Full Oral Presentation},
 +  month={6}
 +}
 +
 +@InProceedings{Frerix2019-givens,
 +  title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}},
 +  author = {T. Frerix and J. Bruna},
 +  booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
 +  year = {2019},  
 +  note = {<a href="http://proceedings.mlr.press/v97/frerix19a.html">URL</a>, <a href="https://github.com/tfrerix/givens-factorization">code</a>}
 +}
 +
 +@article{gn-net-2020,
 +  author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers",
 +  title = "{GN-Net}: The Gauss-Newton Loss for Multi-Weather Relocalization",
 +  journal = {{IEEE} Robotics and Automation Letters ({RA-L})},
 +  year = "2020",
 +  volume={5},
 +  number={2},
 +  pages={890-897},  
 +  note = {{<a href="https://arxiv.org/abs/1904.11932" target="_blank">[arXiv]</a><a href="https://youtu.be/gcbKeKX2eiE" target="_blank">[video]</a><a href="https://vision.in.tum.de/research/vslam/gn-net" target="_blank">[project page]</a><a href="/_media/research/vslam/gn-net/gn-net-supplementary.pdf" target="_blank">[supplementary]</a>}},
 +  keywords = {gn-net, vslam, deep learning}
 +}
 +
 +@article{sommer20planes,
 +  author = {C. Sommer and Y. Sun and L. J. Guibas and D. Cremers and T. Birdal},
 +  title = "From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized
 +3D Point Clouds",
 +  journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)},
 +  year = "2020",
 +  volume={5},
 +  number={2},
 +  pages={1764-1771},
 +  eprint = {2001.07360},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  doi = {10.1109/LRA.2020.2969936},
 +  keywords = {Geometry Processing}
 +}
 +
 +@inproceedings{eisenberger2019smoothshells,
 +  author = "M. Eisenberger and Z. L\"ahner and D. Cremers",
 +  title = "Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",
 +  year = "2020",
 +  award = {Oral Presentation},
 +  note = {<a href="http://openaccess.thecvf.com/content_CVPR_2020/papers/Eisenberger_Smooth_Shells_Multi-Scale_Shape_Registration_With_Functional_Maps_CVPR_2020_paper.pdf">[pdf]</a> <a href="https://arxiv.org/abs/1905.12512">[arXiv]</a> <a href="https://github.com/marvin-eisenberger/smooth-shells">[code]</a>},
 +  keywords = { Geometry Processing },
 +}
 +
 +@inproceedings{eisenberger2020hamiltonian,
 +  author = "M. Eisenberger and D. Cremers",
 +  title = "Hamiltonian Dynamics for Real-World Shape Interpolation",
 +  booktitle = "European Conference on Computer Vision (ECCV)",
 +  year = "2020",
 +  award = {Spotlight Presentation},
 +  note = {<a href="https://arxiv.org/abs/2004.05199">[arXiv]</a> <a href="https://github.com/marvin-eisenberger/hamiltonian-interpolation">[code]</a>},
 +  keywords = {Shape Analysis, Geometry Processing},
 +}
 +
 +@inproceedings{eisenberger2020deepshells,
 +  author = "M. Eisenberger and A. Toker and L. Leal{-}Taix{\'{e}} and D. Cremers",
 +  title = "Deep Shells: Unsupervised Shape Correspondence with Optimal Transport",
 +  booktitle = "34th Conference on Neural Information Processing Systems (NeurIPS)",
 +  year = "2020",
 +  note = {<a href="https://arxiv.org/abs/2010.15261">[arXiv]</a> <a href="https://github.com/marvin-eisenberger/deep-shells">[code]</a>}
 +}
 +
 +@inproceedings{eisenberger2021neuromorph,
 +  author = "M. Eisenberger and D. Novotny and G. Kerchenbaum and P. Labatut and N. Neverova and D. Cremers and A. Vedaldi",
 +  title = "NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go",
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",
 +  year = "2021",
 +  note = {<a href="https://arxiv.org/abs/2106.09431">[arXiv]</a> <a href="https://github.com/facebookresearch/neuromorph">[code]</a>}
 +}
 +
 +@inproceedings{eisenberger2022unified,
 +  author = "M. Eisenberger and A. Toker and L. Leal{-}Taix{\'{e}} and F. Bernard and D. Cremers",
 +  title = "A Unified Framework for Implicit Sinkhorn Differentiation",
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",
 +  year = "2022",
 +  note = {<a href="https://arxiv.org/abs/2205.06688">[arXiv]</a> <a href="https://github.com/marvin-eisenberger/implicit-sinkhorn">[code]</a>}
 +}
 +
 +@inproceedings{eisenberger2023gmsm,
 +  author = "M. Eisenberger and A. Toker and L. Leal{-}Taix{\'{e}} and D. Cremers",
 +  title = "G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors",
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",
 +  year = "2023",
 +  note = {<a href="https://arxiv.org/abs/2212.02910">[arXiv]</a> <a href="https://github.com/marvin-eisenberger/gmsm-matching">[code]</a>}
 +}
 +
 +@inproceedings{mukkamala2021bregman,
 + address = {Cham},
 + author = {M. C. Mukkamala and F. Westerkamp and E. Laude and D. Cremers and P. Ochs},
 + booktitle = {Scale Space and Variational Methods in Computer Vision},
 + date-modified = {2021-05-18 17:23:47 +0200},
 + editor = {Elmoataz, Abderrahim and Fadili, Jalal and Qu{\'e}au, Yvain and Rabin, Julien and Simon, Lo{\"\i}c},
 + isbn = {978-3-030-75549-2},
 + pages = {204--215},
 + publisher = {Springer International Publishing},
 + title = {Bregman Proximal Gradient Algorithms for Deep Matrix Factorization},
 + year = {2021},
 +  eprint = {1910.03638},
 +  eprinttype = {arXiv},
 +  eprintclass = {math.OC},
 +}
 +
 +@inproceedings{Weiss-et-al-cvpr2020,
 +  author = "S. Weiss and R. Maier and D. Cremers and R. Westermann and N. Thuerey",
 +  title = "Correspondence-Free Material Reconstruction using Sparse Surface Constraints",
 +  booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",
 +  year = "2020",
 +  titleurl = {Weiss_et_al_cvpr2020.pdf},
 +  keywords = {Geometry Processing},
 +}
 +
 +@inproceedings{control-across-weathers-19,
 +  author = {Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taix\'{e}},
 +  title = {Towards Generalizing Sensorimotor Control Across Weather Conditions},
 +  booktitle = {Proceedings of the {IEEE/RSJ} International Conference on Intelligent Robots and Systems ({IROS})},
 +  year = {2019},
 +  note = {{<a href="https://arxiv.org/abs/1907.11025" target="_blank">[arXiv]</a>}},
 + keywords = {deep learning}
 +}
 +
 +@InProceedings{puang19visual,
 +  title = {{Visual Repetition Sampling for Robot Manipulation Planning}},
 +  author = {E.Y. Puang and P. Lehner and Z.C. Marton and M. Durner and R. Triebel and A. Albu-Sch\"affer},
 +  booktitle = icra,
 +  year = {2019}
 +}
 +
 +@inproceedings{moeller-et-al-19,
 +  author = "M. Moeller and T. M{\"o}llenhoff and D. Cremers",
 +  title = "Controlling Neural Networks via Energy Dissipation",
 +  booktitle={International Conference on Computer Vision (ICCV)},
 +  year = "2019",
 +  month= {10},
 +  address={Seoul, South Korea},
 +  eprint = {1904.03081},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +}
 +
 +@inproceedings{jung2019corl,
 +    author = {E. Jung and N. Yang and D. Cremers},
 +    booktitle = {Conference on Robot Learning (CoRL)},
 +    title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
 +    award = {Full Oral Presentation},
 +    note = {{<a href="https://arxiv.org/abs/1910.06632" target="_blank">[arxiv]</a>},{<a href="/_media/spezial/bib/jung2019corl-supp.pdf"target="_blank">[supplementary]</a>},{<a href="https://youtu.be/OdYkFuZv204" target="_blank">[video]</a>}},
 +    year = {2019}
 +}
 +
 +@inproceedings{weiss2019sparse,
 +    title={Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction},
 +    author={S. Weiss and R. Maier and R. Westermann and D. Cremers and N. Thuerey},
 +    journal = {preprint},
 + booktitle = {arXiv preprint arXiv:1910.01812},
 + year={2019},
 +    eprint = {1910.01812},
 +    eprinttype = {arXiv},
 +    eprintclass = {cs.CV},
 +    note = {{<a href="https://arxiv.org/pdf/1910.01812.pdf" target="_blank">[pdf]</a>}},
 +    keywords = {Geometry Processing},
 +}
 +
 +@article{Della-Libera-et-al-2019,
 +  author = {Della Libera, L. and Golkov, V. and Zhu, Y. and Mielke, A. and Cremers, D.},
 +  title = {Deep Learning for {2D and 3D} Rotatable Data: An Overview of Methods},
 +  year = {2019},
 +  journal = {arXiv preprint arXiv:1910.14594},
 +  eprint = {1910.14594},
 +  eprinttype = {arXiv},
 +  keywords = {deep learning, neural networks, 2D, 3D, rotations, invariance, equivariance},
 +}
 +
 +@InBook{vi-dso-chapter,
 +author = "L. von Stumberg and V. Usenko and D. Cremers",
 +title = "A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry",
 +editor = "M. Yang and B. Rosenhahn and V. Murino",
 +chapter = "Multimodal Scene Understanding",
 +publisher = "Academic Press",
 +pages = "159--198",
 +year = "2019",
 +doi = "10.1016/B978-0-12-817358-9.00013-5",
 +isbn = "978-0-12-817358-9",
 +keywords = {vo, vio, vslam},
 +}
 +
 +@Inbook{usenko2020_tumflyers,
 +author="V. Usenko and L. von Stumberg and J. St{\"u}ckler and D. Cremers",
 +editor="F. Caccavale and C. Ott and B. Winkler and Z. Taylor",
 +title="TUM Flyers: Vision---Based MAV Navigation for Systematic Inspection of Structures",
 +chapter="Bringing Innovative Robotic Technologies from Research Labs to Industrial End-users",
 +year="2020",
 +publisher="Springer International Publishing",
 +address="Cham",
 +pages="189--209",
 +isbn="978-3-030-34507-5",
 +doi="10.1007/978-3-030-34507-5_8",
 +keywords = {vo, vio, vslam},
 +}
 +
 +
 +@InProceedings{sommer19spline,
 +  author = "C. Sommer and V. Usenko and D. Schubert and N. Demmel and D. Cremers",
 +  title = "Efficient Derivative Computation for Cumulative B-Splines on Lie Groups",
 +  eprint = {1911.08860},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  doi = {10.1109/CVPR42600.2020.01116},
 +  booktitle=cvpr,
 +  year = {2020},
 +  award = {Oral Presentation},
 +  keywords={lie-spline, vslam, SLAM}
 +}
 +
 +@inproceedings{brechet2019,
 + title = {Informative GANs via Structured Regularization of Optimal Transport},
 + author =  {P. Bréchet and T. Wu and T. Möllenhoff and D. Cremers},
 + booktitle = {{NeurIPS Workshop on Optimal Transport and Machine Learning}},
 + year = {2019},
 + eprint = {1912.02160},
 + eprinttype = {arXiv},
 + eprintclass = {cs.CV},
 +}
 +
 +@InProceedings{yang20d3vo,
 +  author = "N. Yang and L. von Stumberg and R. Wang and D. Cremers",
 +  title = "D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry",
 +  booktitle=cvpr,
 +  year = {2020},
 +  eprint = {2003.01060},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  award = {Oral Presentation},
 +  keywords = {dso,dvso, deep learning, monocular depth estimation, semi-supervised learning, slam, visual odometry,d3vo, vslam}
 +}
 +
 +@InProceedings{fontan20information,
 +  author  = "A. Fontan-Villacampa and J. Civera and R. Triebel",
 +  title = "Information-Driven Direct RGB-D Odometry",
 +  booktitle=cvpr,
 +  year=2020,
 +  award = {Oral Presentation},
 +}
 +
 +@InProceedings{sundermeyer20multi,
 +  author  = "M. Sundermeyer and M. Durner and E. Y. Puang and Z.-C. Marton and N. Vaskevicius and K. O. Arras and R. Triebel",
 +  title = "Multi-path Learning for Object Pose Estimation Across Domains",
 +  booktitle=cvpr,
 +  year=2020,
 +}
 +
 +@InProceedings{wenger20nonparametric,
 +  author = "J. Wenger and H. Kjellstr\"om and R. Triebel",
 +  title = "Non-Parametric Calibration for Classification",
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = {2020},
 + }
 +
 +@InProceedings{lee20visual,
 +  author = " J. Lee and R. Balachandran and Y. Sarkisov and M. De Stefano and A. Coelho and K. Shinde and M. J. Kim and R. Triebel and K. Kondak",
 +  title = "Visual-Inertial Telepresence for Aerial Manipulation",
 +  booktitle = icra,
 +  year = {2020},
 + }
 +
 +@InProceedings{steidle19visual,
 +  author = "F. Steidle and W. St\"urzl and R. Triebel",
 +  title = "Visual-inertial sensor fusion with a bio-inspired polarization compass for navigation of MAVs",
 +  booktitle = " 11th International Micro Air Vehicle Competition and Conference (IMAV)",
 +  year = {2019},
 +  keywords = {vslam}
 +  }
 +  
 +
 +@InProceedings{feng19introspective,
 +  author = "J. Feng and M. Durner and Z.-C. Marton and F. Balint-Benczedi and R. Triebel",
 +  title = "Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks",
 +  booktitle = "International Symposium on Robotics Research (ISRR)",
 +  year = {2019}
 +  }
 +  
 +  
 +  
 +@ARTICLE{giubilato20relocalization,
 +  author = { R. Giubilato and M. Vayugundla and M. Schuster and W. St\"urzl and A. Wedler and R. Triebel and S. Debei},
 +  title = {Relocalization With Submaps: Multi-Session Mapping for Planetary Rovers Equipped With Stereo Cameras},
 +  journal =  "IEEE Robotics and Automation Letters",
 +  volume = "5",
 +  number = "2",
 +  pages = " 580--587",
 +  year = {2020},
 +}
 +
 +@ARTICLE{sundermeyer19augmented,
 +  author={ M. Sundermeyer and Z. Marton and M. Durner and R. Triebel},
 +  title={Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection},
 +  journal=ijcv,
 +  year={2019},
 +}
 +
 +@ARTICLE{lutz20ardea,
 +  author={P. Lutz and M. G. M\"uller and M. Maier and S. Stoneman and T. Tomi\´c and I. von Bargen and M. J. Schuster and F. Steidle and A. Wedler and W. St\"urzl and R. Triebel},
 +  title = {ARDEA—An MAV with skills for future planetary missions},  
 +  journal={Journal of Field Robotics (JFR)},
 +  year={2020}
 +    }
 +
 +@inproceedings{ye2020optimization,
 +  author = "Z. Ye and T. Möllenhoff and T. Wu and D. Cremers",
 +  title = "Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning",
 +  booktitle = {International Conference on Artificial
 +Intelligence and Statistics (AISTATS)},
 +  year = {2020},
 +  titleurl = {ye-et-al-combinatorial-20.pdf},
 +  note = {
 +  {<a href="https://github.com/zhenzhangye/graph_TV_recond" target="_blank">[code]</a>}
 +  },
 +}
 +
 +@inproceedings{ye2021gcpr,
 +  author = "Z. Ye and B. Haefner and Y. Quéau and T. M\"ollenhoff and D. Cremers",
 +  title = "Sublabel-Accurate Multilabeling Meets Product Label Spaces",
 +  booktitle = {DAGM German Conference on Pattern Recognition (GCPR)},
 +  year = {2021},
 +  doi="10.1007/978-3-030-92659-5_1",
 +  %eprint = {},
 +  %eprinttype = {arXiv},
 +  %eprintclass = {cs.CV},
 +  award = {Oral Presentation},
 +  %titleurl = {},
 +  note = {
 +  {<a href="https://youtu.be/SMih29USQpM" target="_blank">[presentation]</a>
 +  {<a href="https://github.com/zhenzhangye/sublabel_meets_product_space" target="_blank">[code]</a>}
 +},
 +keywords = {},
 +}
 +
 +@article{ye2022ijcv,
 +  author = "Z. Ye and B. Haefner and Y. Quéau and T. M\"ollenhoff and D. Cremers",
 +  title = "A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces",
 +  journal = {International Journal of Computer Vision (IJCV)},
 +  year = {2022},
 +  doi="10.1007/s11263-022-01704-7",
 +  titleurl = {ye2022ijcv.pdf},
 +  note = {
 +  {<a href="https://github.com/zhenzhangye/sublabel_meets_product_space" target="_blank">[code]</a>}
 +  },
 +keywords = {},
 +}
 +
 +@phdthesis{maier2020dissertation,
 + author={R. Maier},
 + title={High-Quality {3D} Reconstruction from Low-Cost {RGB-D} Sensors},
 + type={Dissertation},
 + school={Technische Universit\"at M\"unchen},
 + address={M\"unchen, Germany},
 + year={2020}
 +}
 +
 +@inbook{maier2020rgbdvision,
 + title={{RGB-D Vision}},
 + author={R. Maier and D. Cremers},
 + chapter={Encyclopedia of Robotics},
 + editor={Ang, M.H. and Khatib, O. and Siciliano, B.},
 + year={2020},
 + publisher={Springer Berlin Heidelberg},
 + address={Berlin, Heidelberg},
 + pages={1--11},
 + isbn={978-3-642-41610-1},
 + doi={10.1007/978-3-642-41610-1_109-1},
 + url={https://doi.org/10.1007/978-3-642-41610-1_109-1},
 +  keywords = {rgbd, vslam}
 +}
 +
 +@Inbook{Moeller2018,
 +author="Moeller, Michael and Cremers, Daniel",
 +editor="Bertalm{\'i}o, Marcelo",
 +title="Image Denoising --- Old and New",
 +bookTitle="Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends",
 +year="2018",
 +publisher="Springer International Publishing",
 +address="Cham",
 +pages="63--91",
 +titleurl = {moeller_cremers2020_denoising_old_and_new.pdf},
 +}
 +
 +
 +
 +@inproceedings{lee2020estimating,
 +  author = "Jongseok Lee and Matthias Humt and Jianxiang Feng and Rudolph Triebel",
 +  title = "Estimating Model Uncertainty of Neural Networks in Sparse Information Form",
 +  booktitle = icml,
 +  year = {2020}
 +}
 +
 +@inproceedings{liu2020effective,
 +  title={Effective Version Space Reduction for Convolutional Neural Networks},
 +  author={Liu, Jiayu and Chiotellis, Ioannis and Triebel, Rudolph and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2006.12456},
 +  year={2020},
 +  booktitle=ecml,
 +  note={{<a href="https://arxiv.org/abs/2006.12456" target="_blank">[arxiv]</a>}},
 +  keywords={deep learning, active learning, convolutional neural networks}
 +}
 +
 +@inproceedings{denninger20scene,
 +  title={{3D} Scene Reconstruction from a Single Viewport},
 +  author={Maximilian Denninger and Rudolph Triebel},
 +  year={2020},
 +  booktitle=eccv,
 +}
 +
 +@inproceedings{du2020dh3d,
 +  author = "J. Du and R. Wang and D. Cremers",
 +  title = "DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization",
 +  booktitle = "European Conference on Computer Vision (ECCV)",
 +  year = "2020",
 +  award = {Spotlight Presentation},
 +  note={{<a href="https://vision.in.tum.de/research/vslam/dh3d" target="_blank">[project page]</a><a href="https://github.com/JuanDuGit/DH3D" target="_blank">[code]</a><a href="/_media/research/vslam/dh3d/du2020dh3d-supp.pdf" target="_blank">[supplementary]</a><a href="https://arxiv.org/abs/2007.09217" target="_blank">[arxiv]</a>}},
 +  keywords={SLAM, localization, re-localization, 3D learning, dh3d, vslam}
 +}
 +
 +@inproceedings{sewtz20robust,
 +  title={Robust {MUSIC}-Based Sound Source Localization in Reverberant and Echoic Environments},
 +  author={Marco Sewtz and Tim Bodenm\"uller and Rudolph Triebel},
 +  year={2020},
 +  booktitle=iros,
 +  note={to appear},
 +}
 +
 +@inproceedings{legentil20gaussian,
 +  title={Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments},
 +  author={Cedric {Le Gentil} and Mallikarjuna Vayugundla and Riccardo Giubilato and Wolfgang St\"urzl and Teresa A. Vidal-Calleja and Rudolph Triebel},
 +  year={2020},
 +  booktitle=iros,
 +  note={to appear},
 +}
 +
 +@InProceedings{sommer20primitect,
 +  author={C. Sommer and Y. Sun and E. Bylow and D. Cremers},
 +  title={PrimiTect: Fast Continuous Hough Voting for Primitive Detection},
 +  booktitle=icra,
 +  eprint = {2005.07457},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  doi = {10.1109/ICRA40945.2020.9196988},
 +  year={2020},
 +  keywords = {Geometry Processing}
 +}
 +
 +@InProceedings{koestler2020learning,
 +  author = {L. Koestler and N. Yang and R. Wang and D. Cremers},
 +  title = {Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels},
 +  booktitle = {Proceedings of the German Conference on Pattern Recognition (GCPR)},
 +  year = {2020},
 +  note = {{<a href="https://lukaskoestler.com/ldwl" target="_blank">[project page]</a><a href="https://youtu.be/Qxj0-jASHUg" target="_blank">[video]</a>}},
 +}
 +
 +
 +
 +@inproceedings{wenzel2020fourseasons,
 +  title     = {{4Seasons}: A Cross-Season Dataset for Multi-Weather {SLAM} in Autonomous Driving},
 +  author    = {P. Wenzel and R. Wang and N. Yang and Q. Cheng and Q. Khan and L. von Stumberg and N. Zeller and D. Cremers},
 +  booktitle = {Proceedings of the German Conference on Pattern Recognition ({GCPR})},
 +  year      = {2020},
 +  note = {{<a href="https://www.4seasons-dataset.com/" target="_blank">[project page]</a><a href="https://arxiv.org/abs/2009.06364" target="_blank">[arXiv]</a><a href="https://youtu.be/Vn84qyTGx7U" target="_blank">[video]</a>}},
 +  keywords = {vslam,4seasons, deep learning},
 +}
 +
 +
 +@InProceedings{holzschuh20simanneal,
 +   author = {Benjamin Holzschuh and Zorah L\"ahner and Daniel Cremers},
 +   title = {Simulated Annealing for 3D Shape Correspondence},
 +   booktitle={International Conference on 3D Vision (3DV)},
 +   year={2020},
 +   award = {Oral Presentation},
 +   keywords = {Shape Analysis, Shape Matching, Geometry Processing},
 +}
 +
 +@InProceedings{aygun20heatkernel,
 +   author = {Mehmet Ayg\"un and Zorah L\"ahner and Daniel Cremers},
 +   title = {Unsupervised Dense Shape Correspondence using Heat Kernels},
 +   booktitle={International Conference on 3D Vision (3DV)},
 +   year={2020},
 +   keywords = {Shape Analysis, Shape Matching, Geometry Processing},
 +   note={{<a href="https://arxiv.org/abs/2010.12682" target="_blank">[arxiv]</a>}},
 +}
 +
 +@article{Naeyaert2020,
 +author = {Naeyaert, M. and Aelterman, J. and Van Audekerke, J. and Golkov, V. and Cremers, D. and Pižurica, A. and Sijbers, J. and Verhoye, M.},
 +title = {Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing},
 +journal = {Magnetic Resonance in Medicine},
 +year = {2020},
 +volume = {85},
 +number = {3},
 +pages = {1397-1413},
 +keywords = {compressed sensing, diffusion, fast spin echo, HARDI, turbo spin echo, medical imaging, diffusion MRI},
 +doi = {10.1002/mrm.28520},
 +url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.28520},
 +eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28520}
 +}
 +@InProceedings{boerdijk2020self,
 +  author        = {Wout Boerdijk and Martin Sundermeyer and Maximilian Durner and Rudolph Triebel},
 +  title         = {Self-Supervised Object-in-Gripper Segmentation from Robotic Motions},
 +  booktitle     = corl,
 +  year          = {2020},
 +  note          = {}
 +}
 +@InProceedings{schiel2020incremental,
 +  author        = {Felix Schiel and Annette Hagengruber and J\"orn Vogel and Rudolph Triebel},
 +  title         = {Incremental learning of EMG-based control commands using Gaussian Processes},
 +  booktitle     = corl,
 +  note          = {},
 +  year          = {2020}
 +}
 +@InProceedings{stoiber2020sparse,
 +  author        = {Manuel Stoiber and Martin Pfanne and Klaus Strobl and Rudolph Triebel and Alin Albu-Schaeffer},
 +  title         = {A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking},
 +  booktitle     = accv,
 +  year          = {2020},
 +  note          = {},
 +  award = {Best Paper Award}
 +}
 +@InProceedings{meyer2020robust,
 +  author        = {Lukas Meyer and Klaus Strobl and Rudolph Triebel},
 +  title         = {Robust Vision-Based Pose Correction for a Robotic Manipulator using Active Markers},
 +  booktitle     = {17th International Symposium on Experimental Robotics (ISER)},
 +  year          = {2020},
 +  note          = {to appear}
 +}
 +
 +@inproceedings{demmel2020distributed,
 +   author = {Nikolaus Demmel and Maolin Gao and Emanuel Laude and Tao Wu and Daniel Cremers},
 +   title = {Distributed Photometric Bundle Adjustment},
 +   booktitle={International Conference on 3D Vision (3DV)},
 +   year={2020},
 +   award = {Oral Presentation},
 +   keywords = {photometric-bundle-adjustment, slam, structure-from-motion, direct-method, distributed-optimization, mapping, splitting-method, penalty-method, loop-closure, odometry, consensus-optimization, dpba, vslam},
 +   note = {{<a href="https://vision.in.tum.de/research/vslam/dpba">[project page]</a><a href="https://github.com/tum-vision/dbatk">[code]</a>}}
 +}
 +
 +@article{fabbro2020,
 +      title={Speech Synthesis and Control Using Differentiable {DSP}}, 
 +      author={Giorgio Fabbro and Vladimir Golkov and Thomas Kemp and Daniel Cremers},
 +      year={2020},
 +      journal = {arXiv preprint arXiv:2010.15084},
 +      eprint={2010.15084},
 +      eprinttype={arXiv},
 +      primaryClass={eess.AS},
 +       note = {
 +{<a href="https://thesmith1.github.io/DDSPeech/" target="_blank">[listen to audio results]</a>}
 +},
 +      keywords={speech synthesis, neural vocoder, text-to-speech, digital signal processing, neural networks, deep learning},
 +}
 +
 +@inproceedings{lm-reloc-2020,
 + author = {L. von Stumberg and P. Wenzel and N. Yang and D. Cremers},
 + title = {LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization},
 + booktitle = {International Conference on 3D Vision (3DV)},
 + year = {2020},
 + keywords = {lm-reloc, slam, structure-from-motion, direct method, mapping, vslam, deep learning},
 + note = {{<a href="https://arxiv.org/abs/2010.06323" target="_blank">[arXiv]</a><a href="https://vision.in.tum.de/research/vslam/lm-reloc" target="_blank">[project page]</a><a href="https://youtu.be/i7TyTwKD734" target="_blank">[video]</a><a href="/_media/spezial/bib/lm-reloc-2020_supplementary.pdf" target="_blank">[supplementary]</a><a href="/_media/spezial/bib/lm-reloc-2020_poster.pdf" target="_blank">[poster]</a>}}
 +}
 +
 +@InProceedings{wimbauer2020monorec,
 +      title={MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera}, 
 +      author={F. Wimbauer and N. Yang and L. von Stumberg and N. Zeller and Daniel Cremers},
 +      booktitle=cvpr,
 +      year = {2021},
 +      eprint = {2011.11814},
 +      eprinttype = {arXiv},
 +      eprintclass = {cs.CV},    
 +      keywords={monorec, dvso, d3vo, mvs, deep learning, SLAM, vslam, reconstruction},
 +      note={{<a href="https://vision.in.tum.de/research/monorec" target="_blank">[project page]</a>}}
 +}
 +
 +@InProceedings{yenamandra2020i3dmm,
 +author = {Tarun Yenamandra and Ayush Tewari and Florian Bernard and Hans-Peter Seidel and Mohamed Elgharib and Daniel Cremers and Christian Theobalt},
 +title = {i3DMM: Deep Implicit 3D Morphable Model of Human Heads},
 +booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
 +month = {June},
 +year = {2021},
 +keywords = {Geometry Processing, implicit representations, correspondences, face model},
 +award = {Oral Presentation},
 +note={{<a href="http://gvv.mpi-inf.mpg.de/projects/i3DMM/" target="_blank">[Project page]</a>},{<a href="https://arxiv.org/abs/2011.14143" target="_blank">[ArXiv]</a>}},
 +}
 +
 +@article{chiotellis2020noge,
 +  title={Neural Online Graph Exploration},
 +  author={Ioannis Chiotellis and Daniel Cremers},
 +  year={2020},
 +  journal={arXiv preprint arXiv:2012.03345},
 +  eprint={2012.03345},
 +  archivePrefix={arXiv},
 +  primaryClass={cs.LG},
 +  keywords={deep learning, exploration, graph neural networks, learning on graphs, artificial intelligence},
 +  note={{<a href="https://arxiv.org/abs/2012.03345" target="_blank">[arxiv]</a>}},
 +}
 +
 +@inproceedings{gao2021multi,
 +      title={Isometric Multi-Shape Matching}, 
 +      author={Maolin Gao and Zorah L\"ahner and Johan Thunberg and Daniel Cremers and Florian Bernard},
 +      year={2021},
 +      booktitle=cvpr,   
 +      keywords={Shape Analysis, Geometry Processing, Shape Correspondence, Multi Shape Matching}, 
 +      award = {Oral Presentation},
 +      note = {{<a href="https://arxiv.org/abs/2012.02689">[arxiv]</a>}},
 +}
 +
 +@article{mueller2021,
 +      title={Rotation-Equivariant Deep Learning for Diffusion {MRI}}, 
 +      author={P. M\"uller and V. Golkov and V. Tomassini and D. Cremers},
 +      year={2021},
 +      journal = {arXiv preprint},
 +      eprint={2102.06942},
 +      eprinttype={arXiv},
 +      primaryClass={cs.CV},     
 +      keywords={deep learning, diffusion MRI, equivariant deep learning, rotation-equivariance, magnetic resonance imaging, multiple sclerosis, image segmentation, medical imaging},
 +}
 +
 +@inproceedings{Naeyaert2021,
 +  author = {Maarten Naeyaert and Vladimir Golkov and Daniel Cremers and Jan Sijbers and Marleen Verhoye},
 +  title = {Faster and better {HARDI} using {FSE} and holistic reconstruction},
 +  year = {2021},
 +  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
 +  keywords = {compressed sensing, magnetic resonance imaging, diffusion MRI, fast spin echo, HARDI, turbo spin echo, primal-dual, space of positions and orientations, medical imaging, image reconstruction, inverse problems},
 +}
 +
 +
 +@inproceedings{Mueller2021-ISMRM,
 + title = {Rotation-Equivariant Deep Learning for Diffusion {MRI} (short version)},
 + author = {P. Müller and V. Golkov and V. Tomassini and D. Cremers},
 +  year = {2021},
 +  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
 + keywords = {deep learning, diffusion MRI, equivariant deep learning, rotation-equivariance, magnetic resonance imaging, multiple sclerosis, image segmentation, medical imaging},
 + }
 +
 +@inproceedings{selfcontrol-aistats-2021,
 + author = {Q. Khan and P. Wenzel and D. Cremers},
 + title = {Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry},
 + booktitle = {International Conference on Artificial Intelligence and Statistics ({AISTATS})},
 + note={{<a href="https://arxiv.org/abs/2103.11204" target="_blank">[arXiv]</a>}},
 + year = {2021},
 + keywords = {deep learning}
 +}
 +
 +@InProceedings{gladkova2021tight,
 +  author={Mariia Gladkova and Rui Wang and Niclas Zeller and Daniel Cremers},
 +  title={Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry},
 +  booktitle={Proc. of the IEEE International Conference on Robotics and Automation (ICRA)},
 +  year={2021},
 +  eprint = {2102.01191},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  note={{<a href="https://go.vision.in.tum.de/tirdso">[project page]</a>}},
 +  keywords={relocalization, localization, dso, ldso, tirdso, vslam}
 +}
 +
 +@InProceedings{yan2021soe,
 +  author = {Y. Xia and Y. Xu and S. Li and R. Wang and J. Du and D. Cremers and U. Stilla},
 +  title = {SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition},
 +  booktitle=cvpr,
 +  year = {2021},
 +  award = {Oral Presentation},
 +  note = {{<a href="https://arxiv.org/abs/2011.12430" target="_blank">[arxiv]</a>}},
 +  keywords={SLAM, localization, re-localization, 3D learning, dh3d, vslam, deep learning}  
 +}
 +
 +
 +@inproceedings{wenzel2021icra,
 + author = {P. Wenzel and T. Schön and L. Leal-Taixé and D. Cremers},
 + title = {Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning},
 + keywords = {deep learning},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + note={{<a href="https://arxiv.org/abs/2103.04727" target="_blank">[arXiv]</a>}},
 + year = {2021}
 +}
 +
 +@inproceedings{sewtz2021icara,
 + author = {Marco Sewtz and Xiaozhou Luo and Johannes Landgraf and Tim Bodenm\"uller and Rudolph Triebel},
 + title = {Robust Approaches for Localization on Multi-camera Systems in Dynamic Environments},
 + booktitle = {Proceedings of the {IEEE} International Conference on Automation, Robotics and Applications({ICARA})},
 + year = {2021}
 +}
 +
 +@inproceedings{winkelbauer2021icra,
 + author = {Dominik Winkelbauer and Maximilian Denninger and Rudolph Triebel},
 + title = {Learning to Localize in New Environments from Synthetic Training Data},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +
 +@inproceedings{lehner2021icra,
 + author = {Hannah Lehner and Martin J. Schuster and Tim Bodenm\"uller and Rudolph Triebel},
 + title = {Exploration of Large Outdoor Environments Using Multi-Criteria Decision Making},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +
 +@inproceedings{boerdijk2021icra,
 + author = {Wout Boerdijk and Martin Sundermeyer and Maximilian Durner and Rudolph Triebel},
 + title = {"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +
 +@inproceedings{sundermeyer2021icra,
 + author = {Martin Sundermeyer and Arsalan Mousavian and Rudolph Triebel and Dieter Fox},
 + title = {{Contact-GraspNet}: Efficient {6-DoF} Grasp Generation in Cluttered Scenes},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +
 +@inproceedings{ballester2021icra,
 + author = {Irene Ballester and Alejandro Fontan and Javier Civera and Klaus H. Strobl and Rudolph Triebel},
 + title = {DOT: Dynamic Object Tracking for Visual SLAM},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +@inproceedings{ballester2021icra,
 + author = {Irene Ballester and Alejandro Fontan and Javier Civera and Klaus H. Strobl and Rudolph Triebel},
 + title = {DOT: Dynamic Object Tracking for Visual SLAM},
 + booktitle = {Proceedings of the {IEEE} International Conference on Robotics and Automation ({ICRA})},
 + year = {2021}
 +}
 +
 +@inproceedings{demmel2021rootba,
 +  author = {Nikolaus Demmel and Christiane Sommer and Daniel Cremers and Vladyslav Usenko},
 +  title = {Square Root Bundle Adjustment for Large-Scale Reconstruction},
 +  eprint = {2103.01843},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle=cvpr,
 +  year = {2021},
 +  keywords = {bundle adjustment, structure from motion, optimization, square root estimation, rootba, SLAM, vslam},
 +  note = {{<a href="https://go.vision.in.tum.de/rootba">[project page]</a>}}
 +}
 +
 +@inproceedings{tomani2021falcon, 
 +  author = "Christian Tomani and Florian Buettner", 
 +  title = "Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration", 
 +  booktitle = In Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021), 
 +  year = "2021", 
 +  eprint={2012.10923}, 
 +  eprinttype={arXiv},  
 +  keywords={deep learning}
 +
 +
 +@inproceedings{tomani2021posthoc, 
 +  author = "Christian Tomani and Sebastian Gruber and Muhammed Ebrar Erdem and Daniel Cremers and Florian Buettner", 
 +  title = "Post-hoc Uncertainty Calibration for Domain Drift Scenarios", 
 +  booktitle = cvpr, 
 +  year = "2021", 
 +  award = "Oral Presentation",
 +  eprint={2012.10988}, 
 +  eprinttype={arXiv},  
 +  keywords={deep learning}
 +
 +
 +@inproceedings{tomani2021pts, 
 +title={Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration}, 
 +author={Christian Tomani and Daniel Cremers and Florian Buettner}, 
 +year={2021}, 
 +booktitle = eccv, 
 +year = "2022", 
 +eprint={2102.12182}, 
 +eprinttype={arXiv},  
 +keywords={deep learning}, 
 +}
 +
 +@article{tomani2022challenger, 
 +title={Challenger: Training with Attribution Maps}, 
 +author={Christian Tomani and Daniel Cremers}, 
 +year={2022}, 
 +journal = {arXiv preprint}, 
 +eprint={2205.15094}, 
 +eprinttype={arXiv}, 
 +primaryClass={cs.LG}, 
 +keywords={deep learning}, 
 +}
 +
 +@inproceedings{tomani2023dac, 
 +title = {Beyond In-Domain Scenarios: Robust Density-Aware Calibration}, 
 +author = {Tomani, Christian and Waseda, Futa and Shen, Yuesong and Cremers, Daniel},
 +booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML)},
 +year = {2023},
 +eprint={2302.05118},
 +eprinttype={arXiv},
 +keywords={deep learning},
 +}
 +
 +@article{tomani2023qualityaware,
 +title={Quality Control at Your Fingertips: Quality-Aware Translation Models},
 +author={Christian Tomani and David Vilar and Markus Freitag and Colin Cherry and Subhajit Naskar and Mara Finkelstein and Daniel Cremers},
 +year={2023},
 +journal = {arXiv preprint},
 +eprint={2310.06707},
 +eprinttype={arXiv},
 +primaryClass={cs.LG},
 +keywords={deep learning},
 +}
 +
 +@INPROCEEDINGS{Publ2015-866,
 +   author         = {J. Duran  and    M. Moeller  and    C. Sbert  and    D. Cremers},
 +   title          = {A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}${\^a}ˆ’norms},
 +   booktitle      = {Proceedings of the 10th International Conference on  Energy Minimization Methods in Computer Vision and Pattern Recognition},
 +   year           = {2015},
 +   pages          = {141-154},
 +   publisher      = {Springer International Publishing},
 +}
 +
 +@InProceedings{lyssenko21from,
 +    author    = {Lyssenko, Maria and Gladisch, Christoph and Heinzemann, Christian and Woehrle, Matthias and Triebel, Rudolph},
 +    title     = {From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains},
 +    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
 +    month     = {June},
 +    year      = {2021},
 +    pages     = {38-45}
 +}
 +
 +
 +@inproceedings{demmel2021rootvo,
 +  author = {Nikolaus Demmel and David Schubert and Christiane Sommer and Daniel Cremers and Vladyslav Usenko},
 +  title = {Square Root Marginalization for Sliding-Window Bundle Adjustment},
 +  eprint = {2109.02182},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle=iccv,
 +  year = {2021},
 +  keywords = {odometry, VO, VIO, visual-inertial, bundle adjustment, optimization, square root estimation, rootba, rootvo, SLAM, vslam},
 +  note = {{<a href="https://go.vision.in.tum.de/rootvo">[project page]</a>}}
 +}
 +
 +@inproceedings{wudenka2021monocular,
 + author = {Martin Wolfgang Wudenka and Marcus Gerhard Müller and Nikolaus Demmel and Armin Wedler and Rudolph Triebel and Daniel Cremers and Wolfgang Stuerzl},
 + title = {Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions},
 +  eprint = {2109.05509},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.RO},
 + booktitle = iros,
 +  keywords = {odometry, VO, SLAM, vslam},
 +  year = {2021},
 +  note = {{<a href="https://github.com/DLR-RM/granite">[code]</a><a href="https://youtu.be/TtoRU3TKv2s">[video]</a>}}
 +}
 +
 +@inproceedings{klenk2021tumvie,
 +  author = {Simon Klenk and Jason Chui and Nikolaus Demmel and Daniel Cremers},
 +  title = {TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset},  
 +  eprint = {2108.07329},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle=iros,
 +  year = {2021},
 +  keywords = {tumvie, event camera, dynamic vision sensor, SLAM, vslam},
 +  note = {{<a href="https://go.vision.in.tum.de/tumvie">[project page]</a>}}
 +}
 +
 +@article{chui2021etslo,
 +      title={Event-Based Feature Tracking in Continuous Time with Sliding Window Optimization}, 
 +      author={J. Chui and S. Klenk and D. Cremers},
 +      year={2021},
 +      journal = {arXiv preprint},
 +      eprint={2107.04536},
 +      eprinttype={arXiv},
 +      primaryClass={cs.CV},     
 +      keywords={Dynamic vision sensor, Continuous-time feature tracking, Sliding window, B-splines, SE2 warping, SLAM, vslam},
 +}
 +
 +@inproceedings{koestler2021tandem,
 +  author = {Lukas Koestler and Nan Yang and Niclas Zeller and Daniel Cremers},
 +  title = {TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo},
 +  booktitle=corl,
 +  year = {2021},
 +  eprint={2111.07418},
 +  eprinttype={arXiv},
 +  award = {3DV'21 Best Demo Award},
 +  keywords = {tandem, odometry, VO, SLAM, vslam, dense reconstruction, mvs},
 +  note = {{<a href="https://github.com/tum-vision/tandem" target="_blank">[GitHub]</a><a href="https://youtu.be/L4C8Q6Gvl1w" target="_blank">[video]</a><a href="https://go.vision.in.tum.de/tandem" target="_blank">[project page]</a>}},
 +}
 +
 +@inproceedings{weber2021mcg,
 +  author = {Simon Weber and Nikolaus Demmel and Daniel Cremers},
 +  title = {Multidirectional Conjugate Gradients for Scalable Bundle Adjustment},
 +  booktitle=gcpr,
 +  year = {2021},
 +  keywords = {large-scale reconstruction, bundle adjustment, preconditioned conjugate gradients, SLAM, vslam},
 +  award = {Oral Presentation},
 +  note = {<a href="https://www.youtube.com/watch?v=M6i7Nm79Qjw" target="_blank">[presentation]</a>
 +}
 +
 +@article{mozes2021,
 +      title={Scene Graph Generation for Better Image Captioning?}, 
 +      author={M. Mozes and M. Schmitt and V. Golkov and H. Sch\"utze and D. Cremers},
 +      year={2021},
 +      journal = {arXiv preprint},
 +      eprint={2109.11398},
 +      eprinttype={arXiv},
 +      primaryClass={cs.CV},     
 +      keywords={deep learning, computer vision, natural language processing, image captioning, scene graphs, attention mechanism},
 +}
 +
 +@phdthesis{Golkov-PhDthesis,
 +  author = {V. Golkov},
 +  title = {Deep learning and variational analysis for high-dimensional and geometric biomedical data},
 +  school = {Department of Informatics, Technical University of Munich,
 +    Germany},
 +  year = {2021},
 +  topic = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
 +  keywords = {deep learning, medical imaging, protein structure prediction, neural networks, machine learning, calculus of variations, diffusion MRI, magnetic resonance imaging},
 +}
 +
 +@article{stumberg22dmvio,
 +  author = "L. von Stumberg and D. Cremers",
 +  title = "{DM-VIO}: Delayed Marginalization Visual-Inertial Odometry",
 +  journal = {{IEEE} Robotics and Automation Letters ({RA-L}) & International Conference on Robotics and Automation ({ICRA})},
 +  year = "2022",
 +  volume={7},
 +  number={2},
 +  pages={1408-1415},
 +  doi={10.1109/LRA.2021.3140129},  
 +  note = {{<a href="https://arxiv.org/pdf/2201.04114.pdf" target="_blank">[arXiv]</a><a href="https://youtu.be/7iep3BvcJPU" target="_blank">[video]</a><a href="https://vision.in.tum.de/dm-vio" target="_blank">[project page]</a><a href="/_media/research/vslam/dm-vio/dm-vio-supplementary.pdf" target="_blank">[supplementary]</a><a href="https://github.com/lukasvst/dm-vio" target="_blank">[code]</a>}},
 +  keywords = {dm-vio, dso, vslam, SLAM, VIO, visual-inertial, vi-dso}
 +}
 +@inproceedings{lee21trust,
 +       booktitle = {5th Conference on Robot Learning (CoRL)},
 +           month = {November},
 +           title = {Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse {G}aussian Processes},
 +         journal = {Conference on Robot Learning (CoRL)},
 +          author = {Jongseok Lee and Jianxiang Feng and Matthias Humt and Marcus Gerhard M{\"u}ller and Rudolph Triebel},
 +            year = {2021},
 +}
 +@inproceedings{schnaus21bayesian,
 +          author = {Dominik Schnaus and Jongseok Lee and Rudolph Triebel},
 +       booktitle = {Bayesian Deep Learning NeurIPS 2021 Workshop},
 +            year = {2021},
 +           title = {Kronecker-Factored Optimal Curvature},
 +           keywords = {deep learning, bayesian deep learning},
 +           note = {{<a href="/_media/spezial/bib/schnaus21bayesian_poster.pdf" target="_blank">[poster]</a>}}
 +}
 +@inproceedings{liao21learning,
 +       booktitle = {International Conference on Advanced Robotics (ICAR)},
 +          author = {Hsuan-Cheng Liao and Riccardo Giubilato and Wolfgang St{\"u}rzl and Rudolph Triebel},
 +            year = {2021},
 +           title = {Learning-Based Matching of {3D} Submaps from Dense Stereo for Planetary-Like Environments},
 +}
 +@inproceedings{giubilato21multi,
 +       booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 +          author = {Riccardo Giubilato and Mallikarjuna Vayugundla and Wolfgang St{\"u}rzl and Martin Schuster and Armin Wedler and Rudolph Triebel},
 +         journal = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 +           title = {Multi-Modal Loop Closing in Unstructured Planetary Environments with Visually Enriched Submaps},
 +            year = {2021},
 +}
 +@inproceedings{durner21unknown,
 +           title = {Unknown Object Segmentation from Stereo Images},
 +            year = {2021},
 +          author = {Maximilian Durner and Wout Boerdijk and Martin Sundermeyer and Werner Friedl and Zoltan-Csaba Marton and Rudolph Triebel},
 +       booktitle = {International Conference on Intelligent Robots and Systems},
 +}
 +
 +@inproceedings{lyssenko21instance,
 +          author = {Maria Lyssenko and Christoph Gladisch and Christian Heinzemann and Matthias Woehrle and Rudolph Triebel},
 +       booktitle = {2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
 +           title = {Instance Segmentation in {CARLA}: Methodology and Analysis for Pedestrian-oriented Synthetic Data Generation in Crowded Scenes},
 +           pages = {988--996},
 +            year = {2021},
 +       publisher = {IEEE},
 +}
 +@inproceedings{mueller21photo,
 +           title = {A Photorealistic Terrain Simulation Pipeline for Unstructured Outdoor Environments},
 +            year = {2021},
 +          author = {Marcus Gerhard M{\"u}ller and Maximilian Durner and Abel Gawel and Wolfgang St{\"u}rzl and Rudolph Triebel and Roland Siegwart},
 +       booktitle = {2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
 +}
 +
 +@inproceedings{Veraart2022,
 + title = {A data-driven variability assessment of brain diffusion {MRI} preprocessing pipelines},
 + author = {J. Veraart and 100 coauthors},
 +  year = {2022},
 +  booktitle = {International Society for Magnetic Resonance in Medicine ({ISMRM}) Annual Meeting},
 + keywords = {diffusion MRI, magnetic resonance imaging, medical imaging},
 +  award = {Oral Presentation}
 + }
 +
 +@inproceedings{Sommer2022,
 +  author    = {Christiane Sommer and
 +               Lu Sang and
 +               David Schubert and
 +               Daniel Cremers},
 +  title     = {Gradient-{SDF}: {A} Semi-Implicit Surface Representation for 3D Reconstruction},
 +  booktitle= cvpr,
 +  year      = {2022},
 +  url       = {https://arxiv.org/abs/2111.13652},
 +  titleurl = {sommer2022.png},
 +  note = {
 +  {<a href="/_media/spezial/bib/gradient_sdf_poster.pdf" target="_blank">[poster]</a>}
 +  {<a href="/_media/spezial/bib/gradient_sdf_video.mp4" target="_blank">[presentation]</a>}
 +  {<a href="https://github.com/c-sommer/gradient-sdf" target="_blank">[code]</a>}
 +  }
 +}
 +
 +@inproceedings{ye2021joint,
 +title = {Joint Deep Multi-Graph Matching and {3D} Geometry Learning from Inhomogeneous {2D} Image Collections},
 +author = {Zhenzhang Ye and Tarun Yenamandra and Florian Bernard and Daniel Cremers},
 +booktitle = AAAI,
 +titleurl = {ye2021joint.pdf},
 +note = { {<a href="/_media/spezial/bib/ye2021joint_supp.pdf" target="_blank">[supp]</a>}}, 
 +year = {2022},
 +
 +}
 +
 +@article{Brunner2022,
 +  author   = {C. Brunner and A. Duensing and C. Schröder and M. Mittermair and V. Golkov and M. Pollanka and D. Cremers and R. Kienberger},
 +  title    = {Deep Learning in Attosecond Metrology},
 +  journal  = {Optics Express},
 +  year     = {2022},
 +  keywords = {attosecond metrology, photoelectron spectroscopy, deep learning, physics, attosecond streak camera, streaking, Neural networks; Phase retrieval; Photoelectron spectra; Power spectra; Streak cameras; Time resolved spectroscopy},
 +  volume   = {30},
 +  number   = {9},
 +  pages    = {15669--15684},
 +  publisher = {OSA},
 +  url      = {https://opg.optica.org/OE/abstract.cfm?uri=OE-30-9-15669},
 +  doi      = {10.1364/OE.452108},
 +  award    = {Editor's Pick},
 +}
 +
 +@article{yenamandra2022fire,
 +  
 +  url = {https://arxiv.org/abs/2203.16284},
 +  
 +  author = {Yenamandra, Tarun and Tewari, Ayush and Yang, Nan and Bernard, Florian and Theobalt, Christian and Cremers, Daniel},
 +    
 +  title = {FIRe🔥: Fast Inverse Rendering using Directional and Signed Distance Functions},
 +  
 +  publisher = {arXiv},
 +  
 +  year = {2022},
 +  note = {{<a href="https://vision.in.tum.de/research/geometry/fire">[project page]</a>}}
 +  }
 +
 +@inproceedings{muhle2022pnec,
 +  author = {Dominik Muhle and Lukas Koestler and Nikolaus Demmel and Florian Bernard and Daniel Cremers},
 +  title = {The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions},
 +  eprint = {2204.02256},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle=cvpr,
 +  year = {2022},
 +  keywords = {pnec, vo, vslam},
 +  note = {{<a href="https://dominikmuhle.github.io/publications/pnec/">[project page]</a>}},
 +}
 +
 +@InProceedings{wimbauer2022rendering,
 +  title={De-rendering 3D Objects in the Wild},
 +  author={Wimbauer, Felix and Wu, Shangzhe and Rupprecht, Christian},
 +  booktitle=cvpr,
 +  year={2022},
 +  eprint={2201.02279},
 +  eprinttype={arXiv},
 +  eprintclass={cs.CV},  
 +}
 +
 +
 +@inproceedings{pccontrol_2022,
 +title = {Lateral Ego-Vehicle Control Without Supervision Using Point Clouds},
 +author = {Florian M{\"u}ller and Qadeer Khan and Daniel Cremers},
 +booktitle = {Pattern Recognition and Artificial Intelligence},
 +publisher= {Springer International Publishing},
 +keywords = {deep learning},
 +pages={477--488},
 +isbn={978-3-031-09037-0},
 +year = {2022},
 +}
 +
 +@inproceedings{pathfinding_2022,
 +title = {Biologically Inspired Neural Path Finding},
 +author = {Li Hang and Qadeer Khan and Volker Tresp and Daniel Cremers},
 +booktitle = {Brain Informatics},
 +publisher= {Springer International Publishing},
 +keywords = {deep learning},
 +note = {{<a href="https://github.com/hangligit/pathfinding" target="_blank">[code]</a>}},
 +year = {2022},
 +}
 +
 +@inproceedings{ventriloquist_2022,
 +title = {Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation},
 +author = {Deepan Das and Qadeer Khan and Daniel Cremers},
 +booktitle = {IEEE International Conference on Image Processing},
 +keywords = {deep learning},
 +year = {2022},
 +}
 +
 +@inproceedings{koestler2022intrinsic,
 +  author = {Lukas Koestler and Daniel Grittner and Michael Moeller and Daniel Cremers and Zorah L{\"a}hner},
 +  title = {Intrinsic Neural Fields: Learning Functions on Manifolds},
 +  booktitle=ECCV,
 +  year = {2022},
 +  eprint={2203.07967},
 +  eprinttype={arXiv},
 +  keywords = {Neural Fields, Shape Analysis, Geometry Processing},
 +  note = {{Code will be released soon.}},
 +}
 +
 +@inproceedings{fontan2022model,
 +  author = {Alejandro Fontán Villacampa and Laura Oliva Maza and Javier Civera and Rudolph Triebel},
 +  title = {A Model for Multi-View Residual Covariances Based on Perspective Deformation},
 +  booktitle=icra,
 +  year = {2022},
 +}
 +@inproceedings{aljabout2022seeking,
 +  author = {Elie Aljalbout and Maximilian Ulmer and Rudolph Triebel},
 +  title = {Seeking Visual Discomfort: Curiosity-Driven Representations for Reinforcement Learning},
 +  booktitle=icra,
 +  year = {2022},
 +}
 +@inproceedings{stoiber2022iterative,
 +  author = {Manuel Stoiber and Martin Sundermeyer and Rudolph Triebel},
 +  title = {Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects},
 +  booktitle=cvpr,
 +  year = {2022},
 +}
 +@inproceedings{boerdijk2022towards,
 +  author = {Wout Boerdijk and Maximilian Durner and Martin Sundermeyer and Rudolph Triebel},
 +  title = {Towards Robust Perception of Unknown Objects in the Wild},
 +  booktitle={ICRA Workshop on Robotic Perception and Mapping: Emerging Techniques},
 +  year = {2022},
 +}
 +@inproceedings{lyssenko22towards,
 +  author = {Maria Lyssenko and Christoph David Gladisch and Christian Heinzemann and Matthias Woehrle and Rudolph Triebel},
 +  title = {Towards Safety-Aware Pedestrian Detection in Autonomous Systems},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +@inproceedings{knauer22recall,
 +  author = {Markus Knauer and Maximilian Denninger and Rudolph Triebel},
 +  title = {RECALL: Rehearsal-free Continual Learning for Object Classification},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +@inproceedings{winkelbauer22two,
 +  author = {Dominik Winkelbauer and Berthold Bäuml and Nils Thuerey and Rudolph Triebel},
 +  title = {A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +@inproceedings{feng22bayesian,
 +  author = {Jianxiang Feng and Jongseok Lee and Maximilian Durner and Rudolph Triebel},
 +  title = {Bayesian Active Learning for Sim-to-Real Robotic Perception},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +@inproceedings{meyer22probabilistic,
 +  author = {Lukas Meyer and Klaus H. Strobl and Rudolph Triebel},
 +  title = {The Probabilistic Robot Kinematics Model and its Application to Sensor Fusion},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +@inproceedings{giubilato22challenges,
 +  author = {Riccardo Giubilato and Wolfgang Stürzl and Armin Wedler and Rudolph Triebel},
 +  title = {Challenges of SLAM in extremely unstructured environments: the DLR Planetary Stereo, Solid-State LiDAR, Inertial Dataset},
 +  booktitle=iros,
 +  year = {2022},
 +}
 +
 +@inproceedings{gladkova2022directtracker,
 +  author = {Mariia Gladkova and Nikita Korobov and Nikolaus Demmel and Aljoša Ošep and Laura Leal-Taixé and Daniel Cremers},
 +  title = {DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment},
 +  booktitle = {iros},
 +  year = {2022},
 +  eprint = {2209.14965},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  note={{<a href="https://go.vision.in.tum.de/directtracker">[project page]</a>}},
 +  keywords = {multi-object tracking, 3D object detection, slam, scene understanding}
 +}
 +
 +@inproceedings{hofherr2023neuralPhysParam,
 +  author = {Florian Hofherr and Lukas Koestler and Florian Bernard and Daniel Cremers},
 +  title = {Neural Implicit Representations for Physical Parameter Inference from a Single Video},
 +  booktitle=wacv,
 +  year = {2023},
 +  eprint={2204.14030},
 +  eprinttype={arXiv},
 +  keywords = {Neural Fields, Physical Parameter Estimation, Geometry Processing},
 +  note = {{<a href="https://florianhofherr.github.io/phys-param-inference/" target="_blank">[project page]</a>}},
 +}
 +
 +@inproceedings{wang2021epfgnn,
 +  author    = {Yu Wang and
 +               Yuesong Shen and
 +               Daniel Cremers},
 +  title     = {Explicit pairwise factorized graph neural network for semi-supervised
 +               node classification},
 +  booktitle = {UAI},
 +  year      = {2021},
 +  eprint={2107.13059},
 +  eprinttype={arXiv},
 +  eprintclass={cs.LG},
 +  keywords = {deep learning, graph neural network},
 +  note = {{<a href="https://github.com/YuWang-1024/EPFGNN">[code]</a>}},
 +}
 +
 +@InProceedings{hsu2022gats,
 +  title={What Makes Graph Neural Networks Miscalibrated?},
 +  author={Hans Hao-Hsun Hsu and Yuesong Shen and Christian Tomani and Daniel Cremers},
 +  booktitle = {NeurIPS},
 +  year = {2022},
 +  eprint={2210.06391},
 +  eprinttype={arXiv},
 +  eprintclass={cs.LG},
 +  keywords = {deep learning, graph neural network, calibration},
 +  note = {{<a href="https://github.com/hans66hsu/GATS">[code]</a>}},
 +}
 +
 +@InProceedings{shen2022dca,
 +  title={Deep Combinatorial Aggregation},
 +  author={Yuesong Shen and Daniel Cremers},
 +  booktitle = {NeurIPS},
 +  year = {2022},
 +  eprint={2210.06436},
 +  eprinttype={arXiv},
 +  eprintclass={cs.LG},
 +  keywords = {deep learning, uncertainty-aware learning},
 +  note = {{<a href="https://github.com/tum-vision/dca">[code]</a>}},
 +}
 +
 +@inproceedings{sang2023high,
 +  author = {Sang, Lu and Haefner, Bjoern and Zuo, Xingxing and Cremers, Daniel},
 +  title = {High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF},
 +  booktitle={IEEE Winter Conference on Applications of Computer Vision (WACV)},
 +  month={January},
 +  address={Hawaii, USA},
 +  year = {2023},
 +  eprint = {2210.12202},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  copyright = {Creative Commons Attribution Non Commercial No Derivatives 4.0 International},
 +  titleurl = {sang2023high.png},
 +  award = {Spotlight Presentation},
 +  note = {
 +  {<a href="https://github.com/Sangluisme/PSgradientSDF" target="_blank">[code]</a>
 +  }
 +},
 +keywords = {3d-reconstruction,rgb-d,photometry},
 +}
 +
 +@inproceedings{hsu2022a,
 +  title={A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs},
 +  author={Hans Hao-Hsun Hsu and Yuesong Shen and Daniel Cremers},
 +  booktitle={NeurIPS 2022 Workshop: New Frontiers in Graph Learning},
 +  year={2022},
 +  eprint={2210.15575},
 +  eprinttype={arXiv},
 +  eprintclass={cs.LG},
 +  keywords = {deep learning, graph neural network, uncertainty estimation, calibration},
 +  note = {{<a href="https://github.com/hans66hsu/structured_uncertainty_metrics">[code]</a>}},
 +}
 +
 +
 +@article{saroha2022implicit,
 +  title={Implicit Shape Completion via Adversarial Shape Priors},
 +  author={Saroha, Abhishek and Eisenberger, Marvin and Yenamandra, Tarun and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2204.10060},
 +  year={2022},
 +  titleurl = {saroha2022implicit.png}
 +
 +}
 +
 +@inproceedings{ehm2021shortest,
 +  title={Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis},
 +  author={Ehm, Viktoria and Cremers, Daniel and Bernard, Florian},
 +  booktitle={2021 International Conference on 3D Vision (3DV)},
 +  pages={1186--1195},
 +  year={2021},
 +  titleurl = {ehm2021_mvsp.png},
 +  organization={IEEE}
 +}
 +
 +@article{klenk2023nerf,
 +  title={E-nerf: Neural radiance fields from a moving event camera},
 +  author={Klenk, Simon and Koestler, Lukas and Scaramuzza, Davide and Cremers, Daniel},
 +  journal={IEEE Robotics and Automation Letters},
 +  volume={8},
 +  number={3},
 +  pages={1587--1594},
 +  year={2023},
 +  publisher={IEEE},
 +  keywords = {event camera, enerf, nerf},
 +  note = {{<a href="https://cvg.cit.tum.de/research/enerf">[project page]</a>}}
 +}
 +
 +@inproceedings{klenk2022masked,
 +  title={Masked Event Modeling: Self-Supervised Pretraining for Event Cameras},
 +  author={Klenk, Simon and Bonello, David and Koestler, Lukas and Araslanov, Nikita and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2212.10368},
 +  year={2022},
 +  eprint = {2212.10368},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle={{IEEE Winter Conference on Applications of Computer Vision (WACV)}},
 +  month={January},
 +  address={Hawaii, USA},
 +  year = {2024}, 
 +}
 +
 +@article{wenzel2022seasons,
 +  title={4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions},
 +  author={Wenzel, Patrick and Yang, Nan and Wang, Rui and Zeller, Niclas and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2301.01147},
 +  year={2022},
 +  eprint = {2301.01147},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV}
 +}
 +
 +
 +
 +
 +@article{nndriving2023,
 +title={Learning vision based autonomous lateral vehicle control without supervision},
 +  author={Khan, Qadeer and S{\"u}l{\"o}, Idil and {\"O}cal, Melis and Cremers, Daniel},
 +  journal={Applied Intelligence},
 +  pages={1--13},
 +  year={2023},
 +  publisher={Springer},
 +  
 +note = {{<a href="https://link.springer.com/content/pdf/10.1007/s10489-023-04478-8.pdf?pdf=button%20sticky" target="_blank">[paper]</a><a href="https://github.com/idilsulo/nn-driving" target="_blank">[github]</a>}},
 +
 +  keywords = {intelligent driving, neural networks, deep learning},
 +}
 +
 +@InProceedings{Dekel_2020_CVPR,
 +  author = {Dekel, Amit and Härenstam-Nielsen, Linus and Caccamo, Sergio},
 +  title = {Optimal least-squares solution to the hand-eye calibration problem},
 +  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern 
 +  Recognition (CVPR)},
 +  month = {June},
 +  year = {2020},
 +  titleurl = {linus_handeye.png},
 +  eprint={2002.10838}, 
 +  eprinttype={arXiv},
 +}
 +
 +@inproceedings{sdrRobustTriangulation,
 +  author = {Härenstam-Nielsen, Linus and Zeller, Niclas and Cremers, Daniel},
 +  title = {Semidefinite Relaxations for Robust Multiview Triangulation},
 +  booktitle=cvpr,
 +  year = {2023},
 +  titleurl = {robust_triangulation.png},
 +  eprinttype={arXiv},
 +  eprint={2301.11431},
 +  eprintclass = {cs.CV},
 +}
 +
 +@inproceedings{weber2022psc,
 +  title = {Power Bundle Adjustment for Large-Scale 3D Reconstruction},
 +  author = {Weber, Simon and Demmel, Nikolaus and Chon Chan, Tin and Cremers, Daniel},
 +  eprint = {2204.12834},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle= cvpr,
 +  keywords = {bundle adjustment, optimization, SLAM, vslam},
 +  note={<a href="https://github.com/simonwebertum/poba" target="_blank">[project page]</a><a href="https://www.youtube.com/watch?v=2DXJvJM2ExQ" target="_blank">[video]</a>},
 +  titleurl = {weber2022psc.pdf},
 +  year = {2023}
 +}
 +
 +@InProceedings{wimbauer2023behind,
 +      title={Behind the Scenes: Density Fields for Single View Reconstruction}, 
 +      author={Wimbauer, Felix and Yang, Nan and Rupprecht, Christian and Cremers, Daniel},
 +      booktitle=cvpr,
 +      year = {2023},
 +      eprinttype={arXiv},
 +      eprint={2301.07668},
 +      eprintclass = {cs.CV},
 +      keywords={depth prediction, volumetric, nerf, mvs, deep learning, SLAM, vslam, reconstruction},
 +      note={{<a href="https://fwmb.github.io/bts" target="_blank">[project page]</a>}},
 +      titleurl={wimbauer2023behind.png}
 +}
 +
 +@InProceedings{meier2023niff,
 +      title={NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection
 +via Neural Instance Feature Forging}, 
 +      author={Guirguis, Karim and Meier, Johannes and Eskandar, George and Kayser, Matthias and Yang, Bin and Beyerer, Juergen},
 +      booktitle=cvpr,
 +      year = {2023},
 +      eprinttype={arXiv},
 +      eprint={2303.04958},
 +      eprintclass = {cs.CV},
 +      keywords={omputer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
 +      titleurl={meier2023niff.png}
 +}
 +
 +@InProceedings{meier2021boltzman,
 +  author = {Borisov, Vadim and Meier, Johannes and Heuvel, Johan van den and Jalali, Hamed and Kasneci, Gjergji},
 +  title = {A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines},
 +  year = {2021},
 +  booktitle = nipsd,
 +  eprinttype={arXiv},
 +  eprint={2111.07379},
 +  eprintclass = {cs.CV},
 +  keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences}
 +}
 +
 +
 +
 +
 +@InProceedings{Limitless,
 +  author = "Koke, Christian",
 +  title = "Limitless Stability for Graph Convolutional Networks",
 +  booktitle = "International Conference on Learning Representations (ICLR)",
 +  primaryClass = "cs.LG",
 +  eprint = {2301.11443},
 +  eprinttype = {arXiv},
 +  year = "2023"
 +}
 +
 +@InProceedings{GraphWaveletBeyond,
 +  author = "Koke, Christian and Kutyniok, Gitta",
 +  title = "Graph Scattering beyond Wavelet Shackles",
 +  booktitle = "Neural Information Processing Systems Conference (NeurIPS)",
 +  primaryClass = "cs.LG",
 +  eprint = {2301.11456},
 +  eprinttype = {arXiv},
 +  year = "2022"
 +}
 +
 +
 +
 +
 +@Article{1dPhotDirac,
 +  author = {Koke, Christian and Noh, Changsuk and Angelakis, Dimitris},
 +  title = {Dirac equation in 2-dimensional curved spacetime, particle creation, and coupled waveguide arrays},
 +  journal = {Annals of Physics},
 +  year = {2016},
 +  volume = {374},
 +  eprint = {1607.04821},
 +  eprinttype = {arXiv},
 +  pages = {162--178},
 +}
 +
 +@Article{2dPhotDirac,
 +  author = {Koke, Christian and Noh, Changsuk and Angelakis, Dimitris},
 +  title = {Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect},
 +  journal = {Physical Review A},
 +  year = {2020},
 +  volume = {102},
 +  eprint = {1909.12543},
 +  eprinttype = {arXiv},
 +  pages = {013514},
 +}
 +
 +@article{Wimmer2023,
 +  title={Scale-Equivariant Deep Learning for 3D Data},
 +  author={Wimmer, Thomas and Golkov, Vladimir and Dang, Hoai Nam and Zaiss, Moritz and Maier, Andreas and Cremers, Daniel},
 +  year={2023},
 +  journal = {arXiv preprint},
 +  eprint={2304.05864},
 +  eprinttype={arXiv},
 +  primaryClass={cs.CV},     
 +  keywords={deep learning, equivariant deep learning, scale-equivariance, magnetic resonance imaging, image segmentation, medical imaging},
 +}
 +
 +@inproceedings{pfeiffer2019visual,
 +  title={Visual person understanding through multi-task and multi-dataset learning},
 +  author={Pfeiffer, Kilian and Hermans, Alexander and S{\'a}r{\'a}ndi, Istv{\'a}n and Weber, Mark and Leibe, Bastian},
 +  booktitle={gcpr},
 +  pages={551--566},
 +  year={2019},
 +  organization={Springer International Publishing}
 +}
 +
 +@inproceedings{weber2020single,
 +  title={Single-Shot Panoptic Segmentation},
 +  author={Weber, Mark and Luiten, Jonathon and Leibe, Bastian},
 +  booktitle={iros},
 +  pages={8476--8483},
 +  year={2020}
 +}
 +
 +@inproceedings{ovsep20204d,
 +  title={4D generic video object proposals},
 +  author={O{\v{s}}ep, Aljo{\v{s}}a and Voigtlaender, Paul and Weber, Mark and Luiten, Jonathon and Leibe, Bastian},
 +  booktitle={icra},
 +  pages={10031--10037},
 +  year={2020},
 +  organization={IEEE}
 +}
 +
 +@inproceedings{weber2021step,
 +  title={STEP: Segmenting and Tracking Every Pixel},
 +  author={Weber, Mark and Xie, Jun and Collins, Maxwell and Zhu, Yukun and Voigtlaender, Paul and Adam, Hartwig and Green, Bradley and Geiger, Andreas and Leibe, Bastian and Cremers, Daniel and others},
 +  booktitle={Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Track on Datasets and Benchmarks)},
 +  volume={1},
 +  year={2021}
 +}
 +
 +@inproceedings{aygun20214d,
 +  title={4D Panoptic LiDAR Segmentation},
 +  author={Aygun, Mehmet and Osep, Aljosa and Weber, Mark and Maximov, Maxim and Stachniss, Cyrill and Behley, Jens and Leal-Taix{\'e}, Laura},
 +  booktitle={cvpr},
 +  pages={5527--5537},
 +  year={2021}
 +}
 +
 +@article{weber2021deeplab2,
 +  title={DeepLab2: A TensorFlow Library for Deep Labeling},
 +  author={Weber, Mark and Wang, Huiyu and Qiao, Siyuan and Xie, Jun and Collins, Maxwell D and Zhu, Yukun and Yuan, Liangzhe and Kim, Dahun and Yu, Qihang and Cremers, Daniel and others},
 +  journal={arXiv preprint arXiv:2106.09748},
 +  year={2021}
 +}
 +
 +@article{dang2023,
 +  title={Joint {MR} sequence optimization beats pure neural network approaches for spin-echo {MRI} super-resolution},
 +  author={Dang, Hoai Nam and Golkov, Vladimir and Wimmer, Thomas and Cremers, Daniel and Maier, Andreas and Zaiss, Moritz},
 +  journal={arXiv preprint arXiv:2305.07524},
 +  year={2023},
 +  keywords={medical imaging, magnetic resonance imaging, pulse sequences, super-resolution, deep learning},
 +  eprint = {2305.07524},
 +  eprinttype = {arXiv},
 +}
 +
 +@inproceedings{zaiss2023,
 +  title={{GPT4MR}: Exploring {GPT-4} as an {MR} Sequence and Reconstruction Programming Assistant},
 +  author={Zaiss, Moritz and Dang, Hoai Nam and Golkov, Vladimir and Rajput, Junaid and Cremers, Daniel and Knoll, Florian and Maier, Andreas},
 +  year={2023},
 +  keywords={medical imaging, magnetic resonance imaging, pulse sequences, deep learning, large language models, prompt engineering},
 +  url={https://docs.google.com/document/d/1iy6AaTWCpGjfVc5Z0ar7VXWyJyNq3PlY2NYoeKCD0T4/},
 +  booktitle = {European Society for Magnetic Resonance in Medicine and Biology ({ESMRMB}) Annual Meeting},
 +  award = {Oral Presentation}
 +}
 +
 +@inproceedings {ehm2023non,
 +booktitle = {Eurographics 2023 - Posters},
 +title = {{Non-Separable Multi-Dimensional Network Flows for Visual Computing}},
 +author = {Ehm, Viktoria and Cremers, Daniel and Bernard, Florian},
 +year = {2023},
 +publisher = {The Eurographics Association},
 +ISSN = {1017-4656},
 +ISBN = {978-3-03868-211-0},
 +titleurl = {ehm_vector_high_res.png},
 +DOI = {10.2312/egp.20231028}
 +}
 +
 +@article{sang2023weight,
 +  title={Weight-Aware Implicit Geometry Reconstruction with Curvature-Guided Sampling},
 +  author={Sang, Lu and Saroha, Abhishek and Gao, Maolin and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2306.02099},
 +  year={2023},
 +  titleurl = {sang2023.png}
 +}
 +
 +@inproceedings{muhle2023learning,
 +  title={Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares},
 +  author={Muhle, Dominik and Koestler, Lukas and Jatavallabhula, Krishna Murthy and Cremers, Daniel},
 +  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 +  eprint = {2305.09527},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  pages={13102--13112},
 +  year={2023},
 +  keywords = {pnec, vo, vslam, deep learning},
 +  note = {{<a href="https://dominikmuhle.github.io/publications/dnls_covs/">[project page]</a>}},
 +}
 +
 +
 +
 +@inproceedings{lidarsynthesis2023,
 +title={LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels},
 +booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems},
 +  author={Schmidt, Jonathan and Khan, Qadeer and Cremers, Daniel},
 +  year = {2023},
 +
 +  
 +note = {{<a href="https://jonathsch.github.io/lidar-synthesis/" target="_blank">[project page]</a><a href="https://arxiv.org/abs/2308.01424" target="_blank">[arxiv]</a><a href="https://github.com/jonathsch/lidar-synthesis" target="_blank">[code]</a>}},
 +
 +  keywords = {neural networks, deep learning, lidar },
 +}
 +
 +@inproceedings{multiagent2023,
 +title={Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller},
 +booktitle = {IEEE 26th International Conference on Intelligent Transportation Systems},
 +  author={Ma, Yining and Khan, Qadeer and Cremers, Daniel},
 +  year = {2023},
 +
 +  
 +note = {{<a href="https://yininghase.github.io/multi-agent-control/" target="_blank">[project page]</a><a href="https://github.com/yininghase/multi-agent-control" target="_blank">[code]</a>}},
 +
 +  keywords = {neural networks, deep learning, multi-agent control},
 +}
 +
 +@article{vehiclepursuit2023,
 +  author = "Jiaxin Pan and Changyao Zhou and Mariia Gladkova and Qadeer Khan and Daniel Cremers",
 +  title = "Robust Autonomous Vehicle Pursuit without Expert Steering Labels",
 +  journal = {{IEEE} Robotics and Automation Letters ({RA-L})},
 +  year = "2023",
 +  volume={8},
 +  number={10},
 +  pages={6595 - 6602},  
 +  note = {{<a href="https://arxiv.org/abs/2308.08380" target="_blank">[arXiv]</a><a href="https://github.com/ChangyaoZhou/Autonomous-Vehicle-Pursuit" target="_blank">[code]}},
 +  keywords = {vehicle pursuit, deep learning}
 +}
 +
 +@inproceedings{xia2023casspr,
 +  author = {Yan Xia and Mariia Gladkova and Rui Wang and Qinyun Li and Uwe Stilla and Joao F. Henriques and Daniel Cremers },
 +  title = {CASSPR: Cross Attention Single Scan Place Recognition},
 +  eprint = {2211.12542},
 +  eprinttype = {arXiv},
 +  eprintclass = {cs.CV},
 +  booktitle=iccv,
 +  year = {2023},
 +  keywords = {lidar, place recognition, deep learning},
 +  note = {{<a href="https://github.com/Yan-Xia/CASSPR">[code]</a>}}
 +}
 +
 +@InProceedings{xia2024text2loc,
 +      title={Text2Loc: 3D Point Cloud Localization from Natural Language},
 +      author={Xia, Yan and Shi, Letian and Ding, Zifeng and Henriques, Jo{\~a}o F and Cremers, Daniel},
 +      booktitle=cvpr,
 +      keywords={3d localization, deep learning, LiDAR point cloud},
 +      note={{<a href="https://yan-xia.github.io/projects/text2loc/" target="_blank">[project page]</a>}},
 +      year={2024}
 +    }
 +}
 +
 +
 +@inproceedings{koke2024holonets,
 +      title={HoloNets: Spectral Convolutions do extend to Directed Graphs}, 
 +      author={Christian Koke and Daniel Cremers},
 +           booktitle={International Conference on Learning Representations (ICLR)},
 +      year={2024},
 +      eprint={2310.02232},
 +      eprinttype={arXiv},
 +      journal={arXiv preprint arXiv:2306.02099}
 +      primaryClass={cs.LG}
 +}
 +
 +
 +
 +
 +
 +
 +
 +
 +@inproceedings{koke2023holonets,
 +      title={HoloNets: Spectral Convolutions do extend to Directed Graphs}, 
 +      author={Christian Koke and Daniel Cremers},
 +           booktitle={NeurIPS 2023 Workshop: New Frontiers in Graph Learning},
 +     award = {Oral Presentation},
 +      year={2023},
 +      eprint={2310.02232},
 +      eprinttype={arXiv},
 +      journal={arXiv preprint arXiv:2306.02099}
 +      primaryClass={cs.LG}
 +}
 +
 +
 +@inproceedings{koke2023resolvnet,
 +      title={ResolvNet: A Graph Convolutional Network with multi-scale Consistency}, 
 +      author={Christian Koke and Abhishek Saroha and Yuesong Shen and Marvin Eisenberger and Daniel Cremers},
 +     booktitle={NeurIPS 2023 Workshop: New Frontiers in Graph Learning},
 +     award = {Oral Presentation},
 +      year={2023},
 +      eprint={2310.00431},
 +      eprinttype={arXiv},
 +      journal={arXiv preprint arXiv:2306.02099}
 +      primaryClass={cs.LG}
 +}
 +
 +@inproceedings{schnaus2023learning,
 +  title={Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks},
 +  author={Schnaus, Dominik and Lee, Jongseok and Cremers, Daniel and Triebel, Rudolph},
 +  booktitle={International Conference on Machine Learning},
 +  pages={30252--30284},
 +  year={2023},
 +  organization={PMLR}
 +}
 +
 +@inproceedings{gao2023sigma,
 +    author = { Maolin Gao and Paul Roetzer and Marvin Eisenberger and Zorah L\"ahner and Michael Moeller and Daniel Cremers and Florian Bernard },
 +    title = { {SIGMA}: Quantum Scale-Invariant Global Sparse Shape Matching},
 +    booktitle = {International Conference on Computer Vision (ICCV)},
 +    year = 2023,
 +    keywords = {Shape Analysis, Geometry Processing, Global Optimisation, Mixed-Integer Programming, Laplace-Betrami},
 +  note = {{<a href="https://cvg.cit.tum.de/_media/members/gaom/sigma-6kb.pdf">[pdf]</a>}}
 +  }
 +  
 +  @inproceedings{Roetzer_et_al_cvpr22,
 +  title={A scalable combinatorial solver for elastic geometrically consistent 3d shape matching},
 +  author={Roetzer, Paul and Swoboda, Paul and Cremers, Daniel and Bernard, Florian},
 +  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 +  pages={428--438},
 +  year={2022}}
 +  note = {{<a href="https://cvg.cit.tum.de/_media/members/gaom/roetzer_et_wal_cvpr22.pdf">[pdf]</a>}}
 +  }
 +
 +
 +@inproceedings{gao2023sigma,
 +    author = { Maolin Gao and Paul Roetzer and Marvin Eisenberger and Zorah L\"ahner and Michael Moeller and Daniel Cremers and Florian Bernard },
 +    title = { {SIGMA}: Quantum Scale-Invariant Global Sparse Shape Matching},
 +    booktitle = {International Conference on Computer Vision (ICCV)},
 +    year = 2023,
 +    keywords = {Shape Analysis, Geometry Processing, Global Optimisation, Mixed-Integer Programming, Laplace-Betrami},
 +  note = {{<a href="https://cvg.cit.tum.de/_media/members/gaom/sigma-6kb.pdf">[pdf]</a>}}
 +  }
 +
 +@misc{deka2023erasing,
 +      title={Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis}, 
 +      author={Mreenav Shyam Deka and Lu Sang and Daniel Cremers},
 +      year={2023},
 +      eprint={2311.17634},
 +      archivePrefix={arXiv},
 +      primaryClass={cs.CV},
 +      titleurl = {deka2023.png},
 +  note = {
 +  {<a href="http://arxiv.org/abs/2311.17634" target="_blank">[paper]</a>}
 +  }
 +}
 +
 +@misc{komorowicz2023coloring,
 +      title={Coloring the Past: Neural Historical Buildings Reconstruction from Archival Photography}, 
 +      author={David Komorowicz and Lu Sang and Ferdinand Maiwald and Daniel Cremers},
 +      year={2023},
 +      eprint={2311.17810},
 +      archivePrefix={arXiv},
 +      primaryClass={cs.CV},
 +      titleurl = {komorowicz2023.png},
 +      note = {
 +  {<a href="http://arxiv.org/abs/2311.17810" target="_blank">[paper]</a>}
 +  }
 +}
 +
 +
 +@inproceedings{compreason2024,
 +title={Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining},
 +booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV},
 +  author={Sahin, Ugur and Li, Hang and Khan, Qadeer and Cremers, Daniel and Tresp Volker},
 +  year = {2024},
 +
 +  
 +note = {{<a href="https://arxiv.org/abs/2311.03964" target="_blank">[arXiv]</a><a href="https://ugorsahin.github.io/enhancing-multimodal-compositional-reasoning-of-vlm.html" target="_blank">[project page]</a><a href="https://github.com/ugorsahin/Generative-Negative-Mining" target="_blank">[code]</a>}},
 +
 +  keywords = {neural networks, deep learning, Large Language Models},
 +}
 +
 +@inproceedings{hayler2023s4c,
 +  title={S4C: Self-Supervised Semantic Scene Completion with Neural Fields},
 +  author={Hayler, Adrian and Wimbauer, Felix and Muhle, Dominik and Rupprecht, Christian and Cremers, Daniel},
 +  booktitle={2024 International Conference on 3D Vision (3DV)},
 +  year={2024},
 +  eprint={2310.07522},
 +  eprinttype={arXiv},
 +  eprintclass={cs.CV},
 +  note = {{<a href="https://ahayler.github.io/publications/s4c/">[project page]</a>}}, 
 +}
 +
 +@InProceedings{wimbauer2023cache,
 +  title={Cache Me if You Can: Accelerating Diffusion Models through Block Caching},
 +  author={Wimbauer, Felix and Wu, Bichen and Schoenfeld, Edgar and Dai, Xiaoliang and Hou, Ji and He, Zijian and Sanakoyeu, Artsiom and Zhang, Peizhao and Tsai, Sam and Kohler, Jonas and others},
 +  booktitle=cvpr,
 +  year={2024},
 +  eprint={2312.03209},
 +  eprinttype={arXiv},
 +  eprintclass={cs.CV},
 +  note={{<a href="https://fwmb.github.io/blockcaching" target="_blank">[project page]</a>}},
 +}
 +
 +@article{ehm2023geometrically,
 +  title={Geometrically Consistent Partial Shape Matching},
 +  author={Ehm, Viktoria and Roetzer, Paul and Eisenberger, Marvin and Gao, Maolin and Bernard, Florian and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2309.05013},
 +    titleurl = {2023_ehm_geo_cons.png},
 +  year={2023}
 +}
 +
 +@article{multivehicle2023,
 +  title={Multi-vehicle trajectory prediction and control at intersections using state and intention information},
 +  author={Zhu, Dekai and Khan, Qadeer and Cremers, Daniel},
 +  journal={Neurocomputing},
 +  pages={127220},
 +  year={2024},
 +  publisher={Elsevier},
 +  
 +    note = {{<a href="https://www.sciencedirect.com/science/article/pii/S0925231223013437" target="_blank">[link]</a><a href="https://dekai21.github.io/Multi_Agent_Intersection/" target="_blank">[project page]</a><a href="https://github.com/Dekai21/Multi_Agent_Intersection" target="_blank">[code]</a><a href="https://arxiv.org/abs/2301.02561" target="_blank">[pre-print]</a>}},
 +  
 +  keywords = {deep learning},
 +  
 +
 +
 +}
 +
 +@inproceedings{solonets2024analytical,
 +  title={An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment},
 +  author={Solonets, Sergei and Sinitsyn, Daniil and von Stumberg, Lukas and  Araslanov, Nikita and Cremers, Daniel},
 +  booktitle={{International Conference on Learning Representations (ICLR)}},
 +  month={May},
 +  address={Vienna, Austria},
 +  year = {2024}, 
 +  award = {Oral Presentation},
 +  note = {To appear},
 +}
 +
 +@inproceedings{reich2024jpeg, 
 + title={Differentiable {JPEG}: The Devil is in the Details}, 
 + author={Reich, Christoph and Debnath, Biplob and Patel, Deep and Chakradhar, Srimat}, 
 + booktitle={wacv}, 
 + pages={4126--4135}, 
 + year={2024}, 
 + note={{<a href="https://christophreich1996.github.io/differentiable_jpeg/" target="_blank">[project page]</a>}}, 
 + titleurl={reich2024jpeg.png} ,
 + eprint = {2309.06978}, 
 + eprinttype={arXiv},
 + eprintclass={cs.CV}
 +}
 +
 +@article{reich2022cell,
 + title={Yeast cell segmentation in microstructured environments with deep learning},
 + author={Prangemeier, Tim and Wildner, Christian and Fran{\c{c}}ani, Andr{\'e} O. and Reich, Christoph and Koeppl, Heinz},
 + journal={Biosystems},
 + volume={211},
 + pages={104557},
 + year={2022},
 + publisher={Elsevier},
 + titleurl={reich2022cell.png} 
 +}
 +
 +@inproceedings{reich2020cellb,
 + title={Attention-Based Transformers for Instance Segmentation of Cells in Microstructures},
 + author={Prangemeier, Tim and Reich, Christoph and Koeppl, Heinz},
 + booktitle={2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
 + pages={700--707},
 + year={2020},
 + eprint={2011.09763}, 
 + eprinttype={arXiv},
 + eprintclass={cs.CV},
 + titleurl={reich2020cellb.png} 
 +}
 +
 +@inproceedings{reich2020cella,
 + title={Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning},
 + author={Prangemeier, Tim and Wildner, Christian and Fran{\c{c}}ani, Andr{\'e} O. and Reich, Christoph and Koeppl, Heinz},
 + booktitle={2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)},
 + pages={1--8},
 + year={2020},
 + eprint={2011.08062}, 
 + eprinttype={arXiv},
 + eprintclass={q-bio.QM},
 + titleurl={reich2020cella.png} 
 +}
 +
 +@inproceedings{reich2022compat,
 + title={Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels},
 + author={Gul, Ahmet Gokberk and Cetin, Oezdemir and Reich, Christoph and Flinner, Nadine and Prangemeier, Tim and Koeppl, Heinz},
 + booktitle={Medical Imaging 2022: Digital and Computational Pathology},
 + volume={12039},
 + organization={International Society for Optics and Photonics},
 + publisher={SPIE},
 + pages={366--373},
 + year={2022},
 + eprint={2210.09021}, 
 + eprinttype={arXiv},
 + eprintclass={cs.CV},
 + titleurl={reich2022compat.png}
 +}
 +
 +@article{reich2022ecg,
 + title={Exploring Novel Algorithms for Atrial Fibrillation Detection by Driving Graduate Level Education in Medical Machine Learning},
 + author={Rohr, Maurice and Reich, Christoph and H{\"o}hl, Andreas and Lilienthal, Timm and Dege, Tizian and Plesinger, Filip and Bulkova, Veronika and Clifford, Gari D and Reyna, Matthew A and Hoog Antink, Christoph},
 + journal={Physiological Measurement},
 + volume = {43},
 + number = {7},
 + pages = {074001},
 + year={2022},
 + publisher={IOP Publishing},
 + titleurl={reich2022ecg.png}
 +}
 +
 +@inproceedings{reich2023cella,
 + title={An Instance Segmentation Dataset of Yeast Cells in Microstructures},
 + author={Reich, Christoph and Prangemeier, Tim and Fran{\c{c}}ani, Andr{\'e} O and Koeppl, Heinz},
 + booktitle={45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
 + note={{<a href="https://christophreich1996.github.io/yeast_in_microstructures_dataset/" target="_blank">[project page]</a>}}, 
 + pages={1-4},
 + year={2023},
 + titleurl={reich2023cella.png}
 +}
 +
 +@inproceedings{reich2023cellb,
 + title={The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures},
 + author={Reich, Christoph and Prangemeier, Tim and Koeppl, Heinz},
 + booktitle={IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},
 + note={{<a href="https://christophreich1996.github.io/tyc_dataset/" target="_blank">[project page]</a>}}, 
 + pages={3940--3951},
 + year={2023},
 + eprint={2304.07597}, 
 + eprinttype={arXiv},
 + eprintclass={cs.CV},
 + titleurl={reich2023cellb.png}
 +}
 +
 +
 +@inproceedings{reich2023ecg,
 + title={On the Atrial Fibrillation Detection Performance of ECG-DualNet},
 + author={Reich, Christoph and Rohr, Maurice and Kircher, Tim and Hoog Antink, Christoph},
 + booktitle={45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1-Page Paper, medRxiv},
 + year={2023},
 + titleurl={reich2023ecg.png}
 +}
 +
 +@inproceedings{reich2021gan,
 + title={Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy},
 + author={Reich, Christoph and Prangemeier, Tim and Wildner, Christian and Koeppl, Heinz},
 + booktitle={{International Conference on Medical image computing and computer-assisted intervention (MICCAI)}},
 + note={{<a href="https://christophreich1996.github.io/multi_stylegan/" target="_blank">[project page]</a>}}, 
 + year={2021},
 + pages={476--486},
 + eprint={2106.08285}, 
 + eprinttype={arXiv},
 + eprintclass={cs.CV},
 + titleurl={reich2021gan.png}
 +}
 +
 +@inproceedings{reich20213dseg,
 + title={OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data},
 + author={Reich, Christoph and Prangemeier, Tim and Cetin, {\"O}zdemir and Koeppl, Heinz},
 + booktitle={British Machine Vision Conference (BMVC)},
 + note={{<a href="https://christophreich1996.github.io/oss_net/" target="_blank">[project page]</a>}}, 
 + year={2021},
 + eprint={2110.10640}, 
 + eprinttype={arXiv},
 + eprintclass={eess.IV},
 + titleurl={reich20213dseg.png}
 +}
 +
 +@inproceedings{reich2023eeg,
 + title={Transformer Network with Time Prior for Predicting Clinical Outcome from EEG of Cardiac Arrest Patients},
 + author={Rohr, Maurice and Schilke, Tobias and Willems, Laurent and Reich, Christoph and Dill, Sebastian and G{\"u}ney, G{\"o}khan and Hoog Antink, Christoph},
 + booktitle={50th Computing in Cardiology Conference (CinC)},
 + year={2023},
 + titleurl={reich2023eeg.png}
 +}
 +
 +@article{reich2023dvcc,
 + title={Deep Video Codec Control},
 + author={Reich, Christoph and Debnath, Biplob and Patel, Deep and Prangemeier, Tim and Cremers, Daniel and Chakradhar, Srimat},
 + journal={arXiv preprint arXiv:2308.16215},
 + year={2023},
 + eprint={2308.16215}, 
 + eprinttype={arXiv},
 + eprintclass={eess.IV},
 + titleurl={reich2023dvcc.png}
 +}
 +
 +@inproceedings{weber2024finsler,
 +  title = {Finsler-Laplace-Beltrami Operators with Application to Shape Analysis},
 +  author = {Weber, Simon and Dages, Thomas and Gao, Maolin and Cremers, Daniel},
 +  booktitle= cvpr,
 +  keywords = {shape analysis, finsler manifold},
 +  note={To appear},
 +  titleurl = {weber_finsler.png},
 +  year = {2024}
 +}
 +
 +@inproceedings{weber2024hyperbolic,
 +  title = {Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball},
 +  author = {Weber, Simon and Zöngür, Barış and Araslanov, Nikita and Cremers, Daniel},
 +  booktitle= cvpr,
 +  keywords = {segmentation, hyperbolic, calibration},
 +  note={To appear},
 +  titleurl = {weber_hyperbolic.png},
 +  year = {2024}
 +}
 +
 +@article{saroha2024gaussian,
 +  title={Gaussian Splatting in Style},
 +  author={Saroha, Abhishek and Gladkova, Mariia and Curreli, Cecilia and Yenamandra, Tarun and Cremers, Daniel},
 +  journal={arXiv preprint arXiv:2403.08498},
 +  year={2024}
 +}
 +
 +@inproceedings{han2024kdbts,
 +  title={Boosting Self-Supervision for Single-View Scene Completion
 +via Knowledge Distillation},
 +  author={Han, Keonhee and Muhle, Dominik and Wimbauer, Felix and Cremers, Daniel},
 +  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 +  year={2024},
 +  note = {{<a href="https://kvasir8.github.io/publications/KDBTS/">[project page]</a>}},
 +}
 +
 +@inproceedings{chen2024leap,
 +  title={LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry},
 +  author={Chen, Weirong and Chen, Le and Wang, Rui and Pollefeys, Marc},
 +  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 +  year={2024},
 +  titleurl = {chen2024leap.png},
 +}
 +
 +
 +@inproceedings{schult24controlroom3d,
 +  author    = {Schult, Jonas and Tsai, Sam and H\"ollein, Lukas and Wu, Bichen and Wang, Jialiang and Ma, Chih-Yao and Li, Kunpeng and Wang, Xiaofang and Wimbauer, Felix and He, Zijian and Zhang, Peizhao and Leibe, Bastian and Vajda, Peter and Hou, Ji},
 +  title     = {ControlRoom3D: Room Generation using Semantic Proxy Rooms},
 +  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 +  year      = {2024},
 +  titleurl = {schult2024controlroom3d}
 +}

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More