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Computer Vision Group

Boltzmannstrasse 3
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 [2019/07/22 19:20]
haefner
spezial:bib [2020/07/09 14:11]
chiotell
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:
 } }
  
-@inproceedings{Haefner2019iccv,+@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.},
Line 7982: 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 7987: Line 8039:
  
  
-@article{Haefner2019tpami,+@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 8002: 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 8011: 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 8020: 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 8195: 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 8222: 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 8345: 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 8365: 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 8387: 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 8451: 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 8460: 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 8469: 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 8531: 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 8592: 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/1904.06504target="_blank">[arxiv]</a>}},
   keywords = nfr   keywords = nfr
 } }
Line 8628: 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 8654: 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 8665: 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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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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