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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

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spezial:bib [2019/04/16 07:57]
usenko
spezial:bib [2019/10/16 09:47]
Nan Yang
Line 3713: Line 3713:
  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 3944:
   address = {Germany},   address = {Germany},
   month = jul,   month = jul,
 +  keywords = {optical-flow},
   titleurl = {nieuwenhuis_PhDThesis.pdf},   titleurl = {nieuwenhuis_PhDThesis.pdf},
 } }
Line 4444: Line 4446:
 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 4616: Line 4618:
   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 4951: Line 4954:
 @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},
Line 4961: Line 4964:
 @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 MR Image Reconstruction and Kurtosis Tensor Estimation},
   booktitle = esmrmb,   booktitle = esmrmb,
   year = 2013,   year = 2013,
Line 5012: Line 5015:
 @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 SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing},
   booktitle = ismrm,   booktitle = ismrm,
   year = 2013,   year = 2013,
Line 5922: Line 5925:
     keywords={rgb-d,rgb-d benchmark},     keywords={rgb-d,rgb-d benchmark},
     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 6093: Line 6097:
   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 7283: Line 7278:
   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",   url          = "http://lmb.informatik.uni-freiburg.de//Publications/2016/MIFDB16",
      
-  keywords = {deeplearning, scene-flow}+  keywords = {deeplearning, scene-flow, optical-flow}
 } }
  
Line 7570: Line 7565:
 @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 7923: Line 7918:
 @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},
Line 7934: Line 7929:
 @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 7941:
 @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 7964: Line 7960:
 } }
  
-@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}, 
 +  award = {}, 
 +  titleurl = {sang2020wacv.pdf}, 
 +
 + 
 +@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 = {{Under Review}}, 
 +  year = {2019}, 
 +  eprint = {}, 
 +  eprinttype = {}, 
 +  eprintclass = {},  
 +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 8014:
  
  
-@article{Haefner2018A,+@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 = {{Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications}}, + journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}}, 
- year = {2018}, + 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 7995: Line 8032:
  
  
-@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 8004: Line 8041:
 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 8013: Line 8051:
  
  
-@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 8188: Line 8229:
   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 8218: Line 8270:
  
 @article{Aljalbout-et-al-2018, @article{Aljalbout-et-al-2018,
-  author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers},+  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},
Line 8252: Line 8304:
 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 = {deeplearning, optical-flow}
 } }
  
Line 8358: Line 8410:
   year={2010},   year={2010},
   organization={IEEE}   organization={IEEE}
-} 
- 
-@article{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}, 
-  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 8380: Line 8422:
 } }
  
-@InProceedings{eisenberger2018divfree,+@article{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",+  journal = "Computer Graphics Forum",
   arXiv = " arXiv:1806.10417",   arXiv = " arXiv:1806.10417",
-  year = "2018", +  year = "2019", 
-  month = "Juni", +  month = "July", 
-  note = {{<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},+  note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},
 } }
  
Line 8444: Line 8486:
 } }
  
-@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 8453: Line 8495:
 } }
  
-@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 8462: Line 8504:
   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 8528: Line 8570:
  
 @article{Frerix2019, @article{Frerix2019,
-  author = "Thomas Frerix and Matthias Nie{\ss}ner and Daniel Cremers", +  author = "T. Frerix and M. Nie{\ss}ner and D. Cremers", 
-  title = "Linear Inequality Constraints for Neural Network Activations",+  title = "Homogeneous Linear Inequality Constraints for Neural Network Activations",
   journal = "preprint",   journal = "preprint",
   primaryClass = "cs.LG",   primaryClass = "cs.LG",
Line 8544: Line 8586:
  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>}}
 +}
 +
 +@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, @inproceedings{bylow2019combining,
  title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},  title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models},
- author={Bylow, E. and Maier, R. and Kahl, F. and Olsson, C.},+ author={E. Bylow and R. Maier and F. Kahl and C. Olsson},
  booktitle={Scandinavian Conference on Image Analysis (SCIA)},  booktitle={Scandinavian Conference on Image Analysis (SCIA)},
  year={2019},  year={2019},
  month={June},  month={June},
  address={Norrk{\"o}ping, Sweden},  address={Norrk{\"o}ping, Sweden},
-  keywords={rgb-d,reconstruction,3d-reconstruction,photometric-stereo}+  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>}}
 } }
  
Line 8572: Line 8626:
   year = "2019",   year = "2019",
   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>}}
- +
-@article{moeller-et-al-19+
-  author = "MMoeller and TM{\"o}llenhoff and DCremers", +
-  title = "Controlling Neural Networks via Energy Dissipation"+
-  journal = {preprint}, +
-  year = "2019", +
-  note = {{<a href="https://arxiv.org/abs/1904.03081">arXiv</a>}}+
 } }
  
Line 8592: Line 8639:
   year = "2019",   year = "2019",
   keywords = nfr   keywords = nfr
 +}
 +
 +@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,deeplearning}
 +}
 +
 +@article{wang19DirectShape,
 +  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",
 +  journal = {preprint},
 +  year = "2019",
 +  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://vision.in.tum.de/research/vslam/direct-shape" target="_blank">[project page]</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, deeplearning},
 +}
 +
 +@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-19,
 +  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 = {preprint},
 +  year = "2019",
 +  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}
 +}
 +
 +@article{eisenberger2019smoothshells,
 +  author = "M. Eisenberger and Z. L\"ahner and D. Cremers",
 +  title = "Smooth Shells: Multi-Scale Shape Registration with Functional Maps",
 +  journal = {preprint},
 +  year = "2019",
 +  note = {{<a href="https://arxiv.org/abs/1905.12512">arXiv</a>}}
 +}
 +
 +@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",
 +  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>}},
 +    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>}}
 } }

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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.

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