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Informatik IX
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 [2019/08/16 17:00]
moellenh
spezial:bib [2019/12/09 07:47]
wuta
Line 6097: 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 7967: Line 7958:
  year = {2019},  year = {2019},
  note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}},  note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href="https://arxiv.org/abs/1809.10940" target="_blank">[arxiv]</a>}},
 +}
 +
 +@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{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},
 } }
  
Line 7976: Line 7999:
   address={Québec City, Canada},   address={Québec City, Canada},
   year = {2019},   year = {2019},
 +  award = {Spotlight Presentation},
   titleurl = {haefner20193dv.pdf},   titleurl = {haefner20193dv.pdf},
 +  note = {
 +  {<a href="/_media/spezial/bib/haefner20193dvposter.pdf" target="_blank">[poster]</a>}
 +},
 } }
  
Line 7996: Line 8023:
 } }
  
 +
 +@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 8024: Line 8062:
 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 8211: Line 8250:
   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 8361: Line 8411:
 } }
  
 +@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 8381: Line 8441:
   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 8403: Line 8453:
 } }
  
-@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 8547: Line 8597:
 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 8609: Line 8659:
   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://github.com/moellenh/vectorial-lifting">code</a>}, {<a href="https://youtu.be/IyPQqqGPHws?t=4704">talk</a>}}
-} 
- 
-@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)}, 
-  month={October}, 
-  address={Seoul, South Korea}, 
-  year = "2019", 
-  eprint = {1904.03081}, 
-  eprinttype = {arXiv}, 
-  eprintclass = {cs.CV}, 
 } }
  
Line 8653: Line 8691:
   journal = {preprint},   journal = {preprint},
   year = "2019",   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> 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>}}, 
-  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 8674: Line 8712:
   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 8687: Line 8726:
 @article{gn-net-19, @article{gn-net-19,
   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 = {preprint},
   year = "2019",   year = "2019",
-  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>}},+  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}
 } }
Line 8702: Line 8741:
 } }
  
-@article{control-across-weathers-19,+@inproceedings{control-across-weathers-19,
   author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",   author = "Q. Khan and P. Wenzel and D. Cremers and L. Leal-Taixe",
   title = "Towards Generalizing Sensorimotor Control Across Weather Conditions",   title = "Towards Generalizing Sensorimotor Control Across Weather Conditions",
-  journal = {preprint},+  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
   year = "2019",   year = "2019",
   note = {{<a href="https://arxiv.org/abs/1907.11025" target="_blank">[arxiv]</a>}}   note = {{<a href="https://arxiv.org/abs/1907.11025" target="_blank">[arxiv]</a>}}
Line 8716: Line 8755:
   year = {2019}   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>}}
 +}
 +
 +@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},
 +  editor = {Michael Ying Yang and Bodo Rosenhahn and Vittorio Murino},
 +  title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry},
 +  chapter = {Multimodal Scene Understanding},
 +  publisher = {Elsevier},
 +  year = {2019}
 +}
 +
 +@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={arXiv:1911.08860},
 +  year = "2019"
 +}
 +
 +@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},
 +}
 +

Rechte Seite

Informatik IX
Computer Vision Group

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

Follow us on:

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