Patrick Labatut

According to our database, Patrick Labatut authored at least 19 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

CoRR, 2023

Code Translation with Compiler Representations.

Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension.

Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.

Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Low Bandwidth Video-Chat Compression Using Deep Generative Models.

Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Discovering Relationships Between Object Categories via Universal Canonical Maps.

Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Learning of 3D Object Categories From Videos in the Wild.

Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.

Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Low Bandwidth Video-Chat Compression using Deep Generative Models.

Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

CoRR, 2020

Continuous Surface Embeddings.

Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2012

High Accuracy and Visibility-Consistent Dense Multiview Stereo.

Hoang-Hiep Vu, Patrick Labatut, Jean-Philippe Pons, Renaud Keriven

IEEE Trans. Pattern Anal. Mach. Intell., 2012

2010

Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data.

Anne-Laure Chauve, Patrick Labatut, Jean-Philippe Pons

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Labeling of data-driven complexes for surface reconstruction. (Partition de complexes guidés par les données pour la reconstruction de surface).

Patrick Labatut

PhD thesis, 2009

Robust and Efficient Surface Reconstruction From Range Data.

Patrick Labatut, Jean-Philippe Pons, Renaud Keriven

Comput. Graph. Forum, 2009

Hierarchical shape-based surface reconstruction for dense multi-view stereo.

Patrick Labatut, Jean-Philippe Pons, Renaud Keriven

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Towards high-resolution large-scale multi-view stereo.

Hoang-Hiep Vu, Renaud Keriven, Patrick Labatut, Jean-Philippe Pons

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts.

Patrick Labatut, Jean-Philippe Pons, Renaud Keriven

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

A GPU Implementation of Level Set Multiview Stereo.

Patrick Labatut, Renaud Keriven, Jean-Philippe Pons

Proceedings of the Computational Science, 2006

Fast Level Set Multi-View Stereo on Graphics Hardware.

Patrick Labatut, Renaud Keriven, Jean-Philippe Pons

Proceedings of the 3rd International Symposium on 3D Data Processing, 2006