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spezial:bib [2019/06/25 15:31]
Thomas Möllenhoff
spezial:bib [2020/07/09 14:11] (current)
Ioannis Chiotellis
Line 83: Line 83:
  
 @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 106: Line 108:
  
 @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 6097: Line 6101:
   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 7822: Line 7817:
   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 7831: Line 7826:
   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},​
-  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>​}}
 } }
  
Line 7969: Line 7964:
 } }
  
-@article{Haefner2019A,+@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}, 
 +  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.pdf"​ target="​_blank">​[presentation]</​a>​} ​  
 +}, 
 +
 + 
 +@article{mukkamala2019arxiv,​ 
 +  title={Bregman Proximal Framework for Deep Linear Neural Networks},​ 
 +  author={Mahesh Chandra Mukkamala and Felix Westerkamp and Emanuel Laude and Daniel Cremers and Peter Ochs}, 
 +  journal = {arXiv preprint arXiv:​1910.03638},​ 
 +  year = {2019}, 
 +  eprint = {1910.03638},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {math.OC} 
 +
 + 
 +@article{brahimi2019springer,​ 
 +  title = {On well-posedness of uncalibrated photometric stereo under general lighting},​ 
 +  author =  {Brahimi, M. and Quéau, Y. and Haefner, B. and Cremers, D.}, 
 +  journal = {arXiv preprint arXiv:​1911.07268},​ 
 +  year = {2019}, 
 +  eprint = {1911.07268},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +titleurl = {brahimi2019springer.pdf},​ 
 +
 + 
 +@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}, 
 +  award = {Spotlight Presentation},​ 
 +  titleurl = {haefner20193dv.pdf},​ 
 +  note = { 
 +  {<a href="/​_media/​spezial/​bib/​haefner20193dvposter.pdf"​ target="​_blank">​[poster]</​a>​} 
 +}, 
 +
 + 
 +@inproceedings{haefner2019iccv,
   title = {Variational Uncalibrated Photometric Stereo under General Lighting},   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.},   author =  {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.},
-  ​journal ​= {arXiv preprint arXiv:​1904.03942},+  ​booktitle={International Conference on Computer Vision (ICCV)}, 
 +  month={October},​ 
 +  address={Seoul,​ South Korea},
   eprint = {1904.03942},​   eprint = {1904.03942},​
   eprinttype = {arXiv},   eprinttype = {arXiv},
Line 7980: Line 8030:
   note = {   note = {
   {<a href="/​_media/​spezial/​bib/​haefner2019supp.pdf"​ target="​_blank">​[supp]</​a>​}   {<a href="/​_media/​spezial/​bib/​haefner2019supp.pdf"​ target="​_blank">​[supp]</​a>​}
 +  {<a href="/​_media/​spezial/​bib/​haefner2019poster.pdf"​ target="​_blank">​[poster]</​a>​}
 +  {<a href="​https://​github.com/​zhenzhangye/​general_ups"​ target="​_blank">​[code]</​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>​}  ​
 +  {<a href="​https://​ieeexplore.ieee.org/​abstract/​document/​9008998"​ target="​_blank">​[ieeexplore]</​a>​}
 }, },
   keywords={d-reconstruction,​photometry,​variational},​   keywords={d-reconstruction,​photometry,​variational},​
Line 7985: Line 8039:
  
  
-@article{Haefner2018A,+@article{laude2019jota,​ 
 + title = {Bregman Proximal Mappings and Bregman-Moreau Envelopes under Relative Prox-Regularity},​ 
 + ​author =  {Laude, E. and Ochs, P. and Cremers, D.}, 
 + ​journal = jota, 
 + ​note="​to appear",​ 
 + year = {2019}, 
 +  eprint = {1907.04306},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {math.OC},​ 
 +
 + 
 +@article{haefner2019tpami,
  title = {Photometric Depth Super-Resolution},​  title = {Photometric Depth Super-Resolution},​
  ​author =  {Haefner, B. and Peng, S. and Verma, A. and Quéau, Y. and Cremers, D.},  ​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)}},  ​journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}},
  year = {2019},  year = {2019},
- ​titleurl = {haefner2018.pdf},​+  eprint = {1809.10097},​ 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV},  
 +titleurl = {haefner2018.pdf},​
  note = {  note = {
 {<a href="/​_media/​spezial/​bib/​haefner2018supp.pdf"​ target="​_blank">​[supp]</​a>​} {<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>​} {<a href="​https://​vision.in.tum.de/​data/​datasets/​photometricdepthsr"​ target="​_blank">​[project page]</​a>​}
 +{<a href="​https://​ieeexplore.ieee.org/​document/​8738841"​ target="​_blank">​[ieeexplore]</​a>​}
 }, },
 keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​ keywords={rgb-d,​reconstruction,​3d-reconstruction,​photometry,​variational,​super-resolution,​photometricdepthsr},​
Line 8000: Line 8068:
  
  
-@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.},
Line 8009: Line 8077:
 note = { note = {
 {<a href="/​_media/​spezial/​bib/​haefner2018cvprsupp.pdf"​ target="​_blank">​[supp]</​a>​} {<a href="/​_media/​spezial/​bib/​haefner2018cvprsupp.pdf"​ target="​_blank">​[supp]</​a>​}
 +{<a href="/​_media/​spezial/​bib/​haefner2018cvprposter.pdf"​ target="​_blank">​[poster]</​a>​}
 {<a href="​https://​github.com/​BjoernHaefner/​DepthSRfromShading"​ target="​_blank">​[code]</​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="​http://​openaccess.thecvf.com/​content_cvpr_2018/​html/​Haefner_Fight_Ill-Posedness_With_CVPR_2018_paper.html"​ target="​_blank">​[cvf]</​a>​}
Line 8018: Line 8087:
  
  
-@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 = {{International Conference on Computer Vision Workshops (ICCVW)}},
  year = {2017},  year = {2017},
 +  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},​
Line 8193: Line 8265:
   booktitle = ismrm,   booktitle = ismrm,
   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, deeplearning,​ biomed},
 +  award = {Oral Presentation}
 } }
  
Line 8220: Line 8303:
   booktitle = {bioRxiv preprint},   booktitle = {bioRxiv preprint},
   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, deeplearning,​ biology, gene regulation},​
 +}
 +
 +@inproceedings{Golkov-et-al-2020-ROC,​
 +  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},
 +%  howpublished = {Preprint},
 +  note = {{<a href="​https://​www.biorxiv.org/​content/​10.1101/​2020.06.25.166884v1">​bioRxiv</​a>​}},​
 +  booktitle = {bioRxiv preprint},
 +  keywords = {deep learning, drug discovery, virtual screening, neural networks, machine learning, QSAR, classification,​ receiver operating characteristic,​ deeplearning,​ biology, chemistry},
 } }
  
Line 8343: Line 8436:
 } }
  
 +@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
 +}
  
  
Line 8363: Line 8466:
   year={2010},​   year={2010},​
   organization={IEEE}   organization={IEEE}
-} 
- 
-@article{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 = {2018}, 
-  journal = {arXiv preprint arXiv:​1806.02997},​ 
-  eprint = {1806.02997},​ 
-  eprinttype = {arXiv}, 
-  keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning,​ biomed}, 
 } }
  
Line 8385: Line 8478:
 } }
  
-@article{eisenberger2019divfree,​+@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 Correspondence by Deformation",​   title = "​Divergence-Free Shape Correspondence by Deformation",​
-  ​journal ​= "​Computer Graphics Forum",​+  ​booktitle ​= "​Computer Graphics Forum",​
   arXiv = " arXiv:​1806.10417",​   arXiv = " arXiv:​1806.10417",​
   year = "​2019",​   year = "​2019",​
   month = "​July",​   month = "​July",​
-  note = {Will be presented at Symposium on Geometry Processing (SGP) {<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>​}},​
 } }
  
Line 8449: Line 8542:
 } }
  
-@InProceedings{sundermeyer2018eccv,+@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 8458: Line 8551:
 } }
  
-@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 8467: Line 8560:
   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 8529: Line 8622:
 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>​}}+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>​}}
 } }
  
Line 8590: Line 8683:
   titleurl = {moellenh-cvpr-19.pdf},​   titleurl = {moellenh-cvpr-19.pdf},​
   award = {Oral Presentation},​   award = {Oral Presentation},​
-  note = {{<a href="​https://​arxiv.org/​abs/​1905.00851">​arXiv:​1905.00851</​a>​},​ {<a href="​https://​github.com/​moellenh/​vectorial-lifting">​code</​a>​},​ {<a href="​https://​youtu.be/​IyPQqqGPHws?​t=4704">​talk</​a>​}}+  note = {{<a href="​https://​arxiv.org/​abs/​1905.00851">​arXiv:​1905.00851</​a>​},​ {<a href="​https://​youtu.be/​IyPQqqGPHws?​t=4704">​talk</​a>​}}
 } }
  
-@article{moeller-et-al-19,​ +@article{usenko19nfr,​
-  author = "M. Moeller and T. M{\"​o}llenhoff and D. Cremers",​ +
-  title = "​Controlling Neural Networks via Energy Dissipation",​ +
-  journal = {preprint},​ +
-  year = "​2019",​ +
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.03081">​arXiv</​a>​}} +
-+
- +
-@InProceedings{usenko19nfr,​+
   author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",​   author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers",​
   title = "​Visual-Inertial Mapping with Non-Linear Factor Recovery",​   title = "​Visual-Inertial Mapping with Non-Linear Factor Recovery",​
-  ​eprint ​= {1904.06504}, +  ​journal ​= {IEEE Robotics and Automation Letters (RA-L) & IntConference on Intelligent Robotics and Automation (ICRA)}, 
-  ​eprinttype ​= {arXiv}, +  ​publisher ​= {IEEE}, 
-  ​eprintclass ​= {cs.CV}, +  ​year={2020}, 
-  ​booktitle={arXiv:1904.06504}, +  ​volume={5}, 
-  ​year = "2019",+  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   keywords = nfr
 } }
Line 8626: Line 8715:
 } }
  
-@article{wang19DirectShape+@InProceedings{wang2020directshape
-  author = "R. Wang and N. Yang and J. Stueckler and D. Cremers"+  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"+  title={DirectShape:​ Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation}
-  ​journal ​= {preprint}, +  ​booktitle={Proc. of the IEEE International Conference on Robotics and Automation (ICRA)}, 
-  year = "​2019"​+  year={2020}
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.10097"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​QqP6zdx5OKw"​ target="​_blank">​[video]</​a> ​Project ​page is under construction.}}, +  note={{<​a href="​https://​arxiv.org/​abs/​1904.10097"​ target="​_blank">​[arxiv]</​a><​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>​}}, 
-  keywords = {stereo, 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding}+  keywords={stereo,​ 3D reconstruction,​ semantic SLAM, 3D object detection, scene understanding, direct shape} 
 +
 + 
 +@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},​ 
 +  keywords={SLAM,​ localization,​ re-localization,​ 3D learning}
 } }
  
Line 8652: Line 8750:
   year = "​2019",​   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>​},​   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}+  award = {Full Oral Presentation}, 
 +  month={6}
 } }
  
Line 8663: Line 8762:
 } }
  
-@article{gn-net-19,+@article{gn-net-2020,
   author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers",​   author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers",​
-  title = "​GN-Net:​ The Gauss-Newton Loss for Deep Direct SLAM", +  title = "​GN-Net:​ The Gauss-Newton Loss for Multi-Weather Relocalization", 
-  journal = {preprint}, +  journal = {IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA)}, 
-  year = "2019", +  year = "2020", 
-  note = {{<a href="​https://​arxiv.org/​abs/​1904.11932"​ target="​_blank">​[arxiv]</​a><​a href="​https://​youtu.be/​GleEp0PqAv0" target="​_blank">​[video]</​a><​a href="​https://​vision.in.tum.de/​research/​vslam/​gn-net"​ target="​_blank">​[project page]</​a>​}},​+  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}   keywords = {gn-net}
 } }
  
-@article{eisenberger2019smoothshells,​+@inproceedings{eisenberger2019smoothshells,​
   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​   author = "M. Eisenberger and Z. L\"​ahner and D. Cremers",​
   title = "​Smooth Shells: Multi-Scale Shape Registration with Functional Maps",   title = "​Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
-  ​journal ​= {preprint},+  ​booktitle = "IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)",​ 
 +  year = "​2020",​ 
 +  award = {Oral Presentation},​ 
 +  note = {<a href="​https://​arxiv.org/​abs/​1905.12512">​[arXiv]</​a>​} {<a href="​https://​github.com/​marvin-eisenberger/​smooth-shells">​[code]</​a>​} 
 +
 + 
 +@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>​} 
 +
 + 
 +@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},​ 
 +
 + 
 +@inproceedings{control-across-weathers-19,​ 
 +  author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",​ 
 +  title = "​Towards Generalizing Sensorimotor Control Across Weather Conditions",​ 
 +  booktitle ​= {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
   year = "​2019",​   year = "​2019",​
-  note = {{<a href="​https://​arxiv.org/​abs/​1905.12512">arXiv</​a>​}}+  note = {{<a href="​https://​arxiv.org/​abs/​1907.11025" target="​_blank">[arxiv]</​a>​}}
 } }
 +
 +@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>​}}
 +}
 +
 +@article{Della-Libera-et-al-2019,​
 +  author = {L. Della Libera and V. Golkov and Y. Zhu and A. Mielke and D. Cremers},
 +  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,​ deeplearning},​
 +}
 +
 +@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",​
 +}
 +
 +@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",​
 +}
 +
 +
 +@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},
 +  booktitle=cvpr,​
 +  year = {2020},
 +  award = {Oral Presentation},​
 +  keywords=lie-spline
 +}
 +
 +@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, deeplearning,​ monocular depth estimation, semi-supervised learning, slam, visual odometry,​d3vo}
 +}
 +
 +@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},
 +  }
 +  ​
 +
 +@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. M\"​ollenhoff 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>​}
 +  },
 +}
 +
 +@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}
 +}
 +
 +@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}
 +}
 +
 +@article{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>​}},​
 +}
 +
 +

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