Patrick Labatut

38 papers A* 11Misc 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CHMv2: Improvements in Global Canopy Height Mapping using DINOv3. CoRR John Brandt, Seung Eun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov, Jessica Ertel, Justine Spore, Huy V. Vo, Michaël Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, Camille Couprie
2026	J	`jnl`	Efficient Universal Perception Encoder. CoRR Chenchen Zhu, Saksham Suri, Cijo Jose, Maxime Oquab, Marc Szafraniec, Wei Wen, Yunyang Xiong, Patrick Labatut, Piotr Bojanowski, Raghuraman Krishnamoorthi, Vikas Chandra
2025	J	`jnl`	Accelerating Transformer Inference and Training with 2:4 Activation Sparsity. CoRR Daniel Haziza, Timothy Chou, Dhruv Choudhary, Luca Wehrstedt, Francisco Massa, Jiecao Yu, Geonhwa Jeong, Supriya Rao, Patrick Labatut, Jesse Cai
2025	J	`jnl`	Back to the Features: DINO as a Foundation for Video World Models. CoRR Federico Baldassarre, Marc Szafraniec, Basile Terver, Vasil Khalidov, Francisco Massa, Yann LeCun, Patrick Labatut, Maximilian Seitzer, Piotr Bojanowski
2025	A*	`conf`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CVPR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	DINOv3. CoRR Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	Disentangling the Factors of Convergence between Brains and Computer Vision Models. CoRR Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Rémi King
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. Trans. Mach. Learn. Res. Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CoRR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	A*	`conf`	Code Translation with Compiler Representations. ICLR Marc Szafraniec, Baptiste Rozière, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. 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
2022	J	`jnl`	Code Translation with Compiler Representations. CoRR Marc Szafraniec, Baptiste Rozière, Hugh Leather, François Charton, Patrick Labatut, Gabriel Synnaeve
2021	A*	`conf`	Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. ICCV Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
2021	J	`jnl`	Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. CoRR Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný
2021	A*	`conf`	DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. ICCV Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi
2021	J	`jnl`	DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. CoRR Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi
2021	A*	`conf`	Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
2021	J	`jnl`	Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
2021	—	`conf`	Low Bandwidth Video-Chat Compression Using Deep Generative Models. CVPR Workshops Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
2021	A*	`conf`	NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CVPR Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
2021	J	`jnl`	NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
2021	A*	`conf`	Unsupervised Learning of 3D Object Categories From Videos in the Wild. CVPR Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
2021	J	`jnl`	Unsupervised Learning of 3D Object Categories from Videos in the Wild. CoRR Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
2020	A*	`conf`	Continuous Surface Embeddings. NeurIPS Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi
2020	J	`jnl`	Continuous Surface Embeddings. CoRR Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
2020	J	`jnl`	Low Bandwidth Video-Chat Compression using Deep Generative Models. CoRR 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
2012	J	`jnl`	High Accuracy and Visibility-Consistent Dense Multiview Stereo. IEEE Trans. Pattern Anal. Mach. Intell. Hoang-Hiep Vu, Patrick Labatut, Jean-Philippe Pons, Renaud Keriven
2010	A*	`conf`	Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data. CVPR Anne-Laure Chauve, Patrick Labatut, Jean-Philippe Pons
2009	—	`conf`	Hierarchical shape-based surface reconstruction for dense multi-view stereo. ICCV Workshops Patrick Labatut, Jean-Philippe Pons, Renaud Keriven
2009	—	`—`	Labeling of data-driven complexes for surface reconstruction. (Partition de complexes guidés par les données pour la reconstruction de surface). Patrick Labatut
2009	J	`jnl`	Robust and Efficient Surface Reconstruction From Range Data. Comput. Graph. Forum Patrick Labatut, Jean-Philippe Pons, Renaud Keriven
2009	A*	`conf`	Towards high-resolution large-scale multi-view stereo. CVPR Hoang-Hiep Vu, Renaud Keriven, Patrick Labatut, Jean-Philippe Pons
2007	A*	`conf`	Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts. ICCV Patrick Labatut, Jean-Philippe Pons, Renaud Keriven
2006	Misc	`conf`	A GPU Implementation of Level Set Multiview Stereo. International Conference on Computational Science (4) Patrick Labatut, Renaud Keriven, Jean-Philippe Pons
2006	—	`conf`	Fast Level Set Multi-View Stereo on Graphics Hardware. 3DPVT Patrick Labatut, Renaud Keriven, Jean-Philippe Pons