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Informatik IX
Computer Vision Group

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

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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.

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spezial:bib [2019/10/07 10:27]
maierr
spezial:bib [2020/05/17 18:08]
usenko
Line 1: Line 1:
-@STRING{aap = {Archiv f{\"u}r Anatomie und Physiologie}}+e@STRING{aap = {Archiv f{\"u}r Anatomie und Physiologie}}
    
 @STRING{accv = {Asian Conference on Computer Vision}} @STRING{accv = {Asian Conference on Computer Vision}}
Line 7813: Line 7813:
   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 7822: Line 7822:
   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 7967: Line 7967:
   address={Colorado, USA},   address={Colorado, USA},
   year = {2020},   year = {2020},
-  award = {},+  eprint = {1912.06501}, 
 +  eprinttype = {arXiv}, 
 +  eprintclass = {cs.CV}, 
 +  award = {Spotlight Presentation},
   titleurl = {sang2020wacv.pdf},   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}
 } }
  
Line 7974: Line 7991:
   title = {On well-posedness of uncalibrated photometric stereo under general lighting},   title = {On well-posedness of uncalibrated photometric stereo under general lighting},
   author =  {Brahimi, M. and Quéau, Y. and Haefner, B. and Cremers, D.},   author =  {Brahimi, M. and Quéau, Y. and Haefner, B. and Cremers, D.},
-  journal = {{Under Review}},+  journal = {arXiv preprint arXiv:1911.07268},
   year = {2019},   year = {2019},
-  eprint = {}, +  eprint = {1911.07268}, 
-  eprinttype = {}, +  eprinttype = {arXiv}, 
-  eprintclass = {}, +  eprintclass = {cs.CV}, 
 titleurl = {brahimi2019springer.pdf}, titleurl = {brahimi2019springer.pdf},
 } }
Line 8009: Line 8026:
   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},
 } }
  
 +
 +@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, @article{haefner2019tpami,
Line 8390: Line 8422:
 } }
  
 +@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 8422: Line 8464:
 } }
  
-@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 8566: Line 8608:
 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 8627: Line 8669:
   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>}}
 } }
  
-@InProceedings{usenko19nfr,+@article{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/1904.06504target="_blank">[arxiv]</a>}},
   keywords = nfr   keywords = nfr
 } }
Line 8655: Line 8701:
 } }
  
-@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> <a href="https://vision.in.tum.de/research/vslam/direct-shape" target="_blank">[project page]</a>}}, +  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><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, direct shape}+  keywords={stereo, 3D reconstruction, semantic SLAM, 3D object detection, scene understanding, direct shape}
 } }
  
Line 8693: Line 8739:
 } }
  
-@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 Multi-Weather Relocalization",   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", 
 +  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>}},   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 = "2019", +  year = "2020", 
-  note = {{<a href="https://arxiv.org/abs/1905.12512">arXiv</a>}}+  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{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},
 } }
  
Line 8742: Line 8800:
     title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},     title = {{Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light}},
     award = {Full Oral Presentation},     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}     year = {2019}
 } }
Line 8747: Line 8806:
 @inproceedings{weiss2019sparse, @inproceedings{weiss2019sparse,
     title={Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction},     title={Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction},
-    author={Weiss, S. and Maier, R. and Westermann, R. and Cremers, D. and Thuerey, N.},+    author={S. Weiss and R. Maier and R. Westermann and D. Cremers and N. Thuerey},
     journal = {preprint},     journal = {preprint},
  booktitle = {arXiv preprint arXiv:1910.01812},  booktitle = {arXiv preprint arXiv:1910.01812},
Line 8754: Line 8813:
     eprinttype = {arXiv},     eprinttype = {arXiv},
     eprintclass = {cs.CV},     eprintclass = {cs.CV},
-    note = {{<a href="https://arxiv.org/pdf/1910.01812.pdf" target="_blank">[pdf]</a> <a href="https://arxiv.org/abs/1910.01812" target="_blank">arXiv</a>}}+    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>} 
 +  },
 } }

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Informatik IX
Computer Vision Group

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

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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