Labatut, Patrick

16 publications

ICLRW 2025 Accelerating Transformer Inference and Training with 2:4 Activation Sparsity Daniel Haziza, Timothy Chou, Dhruv Choudhary, Jesse Cai, Luca Wehrstedt, Francisco Massa, Jiecao Yu, Geonhwa Jeong, Supriya Rao, Patrick Labatut

CVPR 2025 DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment 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

TMLR 2024 Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Herve Jegou, Patrick Labatut, Piotr Bojanowski

TMLR 2024 DINOv2: Learning Robust Visual Features Without Supervision 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, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

ICLR 2023 Code Translation with Compiler Representations Marc Szafraniec, Baptiste Roziere, Hugh James Leather, Patrick Labatut, Francois Charton, Gabriel Synnaeve

ICCV 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 Novotny

ICCV 2021 DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension Roman Shapovalov, David Novotny, Benjamin Graham, Patrick Labatut, Andrea Vedaldi

CVPR 2021 Discovering Relationships Between Object Categories via Universal Canonical Maps Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi

CVPRW 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

CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

CVPR 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 Novotny

NeurIPS 2020 Continuous Surface Embeddings Natalia Neverova, David Novotny, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi

CVPR 2010 Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data Anne-Laure Chauve, Patrick Labatut, Jean-Philippe Pons

ICCVW 2009 Hierarchical Shape-Based Surface Reconstruction for Dense Multi-View Stereo Patrick Labatut, Jean-Philippe Pons, Renaud Keriven

CVPR 2009 Towards High-Resolution Large-Scale Multi-View Stereo Hoang-Hiep Vu, Renaud Keriven, Patrick Labatut, Jean-Philippe Pons

ICCV 2007 Efficient Multi-View Reconstruction of Large-Scale Scenes Using Interest Points, Delaunay Triangulation and Graph Cuts Patrick Labatut, Jean-Philippe Pons, Renaud Keriven