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Patrick Labatut
Patrick Labatut
Meta AI
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Titel
Zitiert von
Zitiert von
Jahr
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
3312009
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
2792007
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
2702011
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
1952010
Robust and efficient surface reconstruction from range data
P Labatut, JP Pons, R Keriven
Computer graphics forum 28 (8), 2275-2290, 2009
1562009
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
392021
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
292009
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
272006
A GPU implementation of level set multiview stereo
P Labatut, R Keriven, JP Pons
International Conference on Computational Science, 212-219, 2006
232006
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
192020
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
172021
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
122021
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
102021
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
102021
Labeling of data-driven complexes for surface reconstruction
P Labatut
Université Paris-Diderot-Paris VII, 2009
52009
Code Translation with Compiler Representations
M Szafraniec, B Roziere, HLF Charton, P Labatut, G Synnaeve
arXiv preprint arXiv:2207.03578, 2022
2022
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 App. 17/224,103, 2022
2022
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
2021
Labeling of data-driven complexes for surface reconstruction.(Partition de complexes guidés par les données pour la reconstruction de surface).
P Labatut
Paris Diderot University, France, 2009
2009
Voronoi features cut for surface reconstruction from multiple views
P Labatut, JP Pons, R Keriven
Technical Report 07-34, CERTIS, 2007
2007
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