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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 [2019/12/03 17:13]
Marvin Eisenberger
spezial:bib [2020/07/08 14:22]
chiotell
Line 106: Line 106:
  
 @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 7813: Line 7815:
   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 7824:
   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 7969:
   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 8009: Line 8028:
   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 8267: Line 8301:
   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 8576: Line 8620:
 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 8637: Line 8681:
   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 8665: Line 8713:
 } }
  
-@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://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, direct shape}+  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 8703: Line 8760:
 } }
  
-@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{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},
 } }
  
Line 8752: Line 8830:
     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>}},+    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 8779: Line 8857:
  
 @InBook{vi-dso-chapter, @InBook{vi-dso-chapter,
-  author = {L. von Stumberg and V. Usenko and D. Cremers}+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", 
-  title = {A Review and Quantitative Evaluation of Direct Visual–Inertial Odometry}+editor = "M. Yang and B. Rosenhahn and V. Murino"
-  chapter = {Multimodal Scene Understanding}+chapter = "Multimodal Scene Understanding"
-  publisher = {Elsevier}+publisher = "Academic Press", 
-  year = {2019}+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, @InProceedings{sommer19spline,
Line 8793: Line 8888:
   eprinttype = {arXiv},   eprinttype = {arXiv},
   eprintclass = {cs.CV},   eprintclass = {cs.CV},
-  booktitle={arXiv:1911.08860}, +  booktitle=cvpr, 
-  year = "2019"+  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 = "D3VODeep 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={European Conference on Machine Learning and Data Mining (ECML-PKDD)}, 
 +  note={{<a href="https://arxiv.org/abs/2006.12456" target="_blank">[arxiv]</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.

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