| DINOv2: Learning robust visual features without supervision M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ... arXiv preprint arXiv:2304.07193, 2023 | 1628* | 2023 |
| Towards high-resolution large-scale multi-view stereo VH Hiep, R Keriven, P Labatut, JP Pons 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1430-1437, 2009 | 376 | 2009 |
| Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction J Reizenstein, R Shapovalov, P Henzler, L Sbordone, P Labatut, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 355 | 2021 |
| High accuracy and visibility-consistent dense multiview stereo HH Vu, P Labatut, JP Pons, R Keriven IEEE transactions on pattern analysis and machine intelligence 34 (5), 889-901, 2011 | 329 | 2011 |
| Efficient multi-view reconstruction of large-scale scenes using interest points, delaunay triangulation and graph cuts P Labatut, JP Pons, R Keriven 2007 IEEE 11th international conference on computer vision, 1-8, 2007 | 323 | 2007 |
| Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data AL Chauve, P Labatut, JP Pons 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 234 | 2010 |
| Robust and efficient surface reconstruction from range data P Labatut, JP Pons, R Keriven Computer graphics forum 28 (8), 2275-2290, 2009 | 203 | 2009 |
| xformers: A modular and hackable transformer modelling library B Lefaudeux, F Massa, D Liskovich, W Xiong, V Caggiano, S Naren, M Xu, ... | 110 | 2022 |
| Continuous surface embeddings N Neverova, D Novotny, M Szafraniec, V Khalidov, P Labatut, A Vedaldi Advances in Neural Information Processing Systems 33, 17258-17270, 2020 | 74 | 2020 |
| Unsupervised learning of 3d object categories from videos in the wild P Henzler, J Reizenstein, P Labatut, R Shapovalov, T Ritschel, A Vedaldi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 67 | 2021 |
| Neuromorph: Unsupervised shape interpolation and correspondence in one go M Eisenberger, D Novotny, G Kerchenbaum, P Labatut, N Neverova, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 65 | 2021 |
| Code translation with compiler representations M Szafraniec, B Roziere, H Leather, F Charton, P Labatut, G Synnaeve arXiv preprint arXiv:2207.03578, 2022 | 46 | 2022 |
| Low bandwidth video-chat compression using deep generative models M Oquab, P Stock, D Haziza, T Xu, P Zhang, O Celebi, Y Hasson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Hierarchical shape-based surface reconstruction for dense multi-view stereo P Labatut, JP Pons, R Keriven 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 32 | 2009 |
| Fast level set multi-view stereo on graphics hardware P Labatut, R Keriven, JP Pons Third International Symposium on 3D Data Processing, Visualization, and …, 2006 | 28 | 2006 |
| A GPU implementation of level set multiview stereo P Labatut, R Keriven, JP Pons International Conference on Computational Science, 212-219, 2006 | 26 | 2006 |
| Discovering relationships between object categories via universal canonical maps N Neverova, A Sanakoyeu, P Labatut, D Novotny, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 20 | 2021 |
| Labeling of data-driven complexes for surface reconstruction P Labatut Université Paris-Diderot-Paris VII, 2009 | 5 | 2009 |
| DensePose 3D: Lifting canonical surface maps of articulated objects to the third dimension R Shapovalov, D Novotny, B Graham, P Labatut, A Vedaldi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Systems and method for low bandwidth video-chat compression MM Oquab, P Stock, O Gafni, DRD Haziza, T Xu, P Zhang, O Çelebi, ... US Patent 12,026,921, 2024 | 1 | 2024 |
