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Computer Vision Group

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85748 Garching info@vision.in.tum.de

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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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spezial:bib [2019/05/16 17:31]
frerix
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 5925: 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 6096: 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 7821: 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 7830: 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 7942: Line 7934:
  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 7967: 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}, 
 +  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 7978: 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},
Line 7983: Line 8035:
  
  
-@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 = {{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 7998: Line 8064:
  
  
-@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 8007: Line 8073:
 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 8016: Line 8083:
  
  
-@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 8191: Line 8261:
   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 8341: 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 8361: Line 8452:
   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 8383: Line 8464:
 } }
  
-@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",   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 = {{<a href="https://arxiv.org/abs/1806.10417" target="_blank">[arxiv]</a>}},
 } }
Line 8447: Line 8528:
 } }
  
-@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 8456: Line 8537:
 } }
  
-@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 8465: Line 8546:
   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 8527: 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>}}
 } }
  
 @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 8566: Line 8647:
  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 8585: Line 8668:
   year = "2019",   year = "2019",
   titleurl = {moellenh-cvpr-19.pdf},   titleurl = {moellenh-cvpr-19.pdf},
-  note = {{<a href="https://arxiv.org/abs/1905.00851">arXiv:1905.00851</a>}}, +  award = {Oral Presentation}, 
-  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{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/1904.06504target="_blank">[arxiv]</a>}},
   keywords = nfr   keywords = nfr
 } }
Line 8622: 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> 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://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}
 } }
  
Line 8647: Line 8726:
   primaryClass = "cs.LG",   primaryClass = "cs.LG",
   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>}}+  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, @InProceedings{Frerix2019-givens,
-  author = "T. Frerix and J. Bruna", +  title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}}, 
-  title = "Approximating Orthogonal Matrices with Effective Givens Factorization", +  author =  {T. Frerix and J. Bruna}, 
-  booktitle = "International Conference on Machine Learning (ICML 2019)",+  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) & International Conference on Robotics and Automation (ICRA)}, 
 +  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} 
 +
 + 
 +@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="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}, 
 +
 + 
 +@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/1905.05796">arXiv:1905.05796</a>, <a href="https://github.com/tfrerix/givens-factorization">code</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 GANImage 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>} 
 +  },
 } }

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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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