Fast Level Set Multi-View Stereo on Graphics Hardware. - Patrick Labatut; Renaud Keriven; Jean-Philippe Pons (3DPVT, 2006)

A GPU Implementation of Level Set Multiview Stereo. - Patrick Labatut; Renaud Keriven; Jean-Philippe Pons (International Conference on Computational Science (4), 2006)

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

Towards high-resolution large-scale multi-view stereo. - Hoang-Hiep Vu; Renaud Keriven; Patrick Labatut; Jean-Philippe Pons (CVPR, 2009)

Hierarchical shape-based surface reconstruction for dense multi-view stereo. - Patrick Labatut; Jean-Philippe Pons; Renaud Keriven (ICCV Workshops, 2009)

Robust and Efficient Surface Reconstruction From Range Data. - Patrick Labatut; Jean-Philippe Pons; Renaud Keriven (Comput. Graph. Forum, 2009)

Labeling of data-driven complexes for surface reconstruction. (Partition de complexes guidés par les données pour la reconstruction de surface). - Patrick Labatut (2009)

Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data. - Anne-Laure Chauve; Patrick Labatut; Jean-Philippe Pons (CVPR, 2010)

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)

Continuous Surface Embeddings. - Natalia Neverova; David Novotný; Marc Szafraniec; Vasil Khalidov; Patrick Labatut; Andrea Vedaldi (NeurIPS, 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)

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. - Marvin Eisenberger; David Novotný; 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 001; Andrea Vedaldi; David Novotný (CVPR, 2021)

Discovering Relationships Between Object Categories via Universal Canonical Maps. - Natalia Neverova; Artsiom Sanakoyeu; Patrick Labatut; David Novotný; Andrea Vedaldi (CVPR, 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 Workshops, 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 (ICCV, 2021)

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. - Roman Shapovalov; David Novotný; Benjamin Graham; Patrick Labatut; Andrea Vedaldi (ICCV, 2021)

Code Translation with Compiler Representations. - Marc Szafraniec; Baptiste Rozière; Hugh Leather; Patrick Labatut; François Charton; Gabriel Synnaeve (ICLR, 2023)

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; et al. (Trans. Mach. Learn. Res., 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; Hervé Jégou; Patrick Labatut; et al. (Trans. Mach. Learn. Res., 2024)

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 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 2025)

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

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - 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; et al. (CoRR, 2025)

Back to the Features: DINO as a Foundation for Video World Models. - Federico Baldassarre; Marc Szafraniec; Basile Terver; Vasil Khalidov; Francisco Massa; Yann LeCun; Patrick Labatut; Maximilian Seitzer; Piotr Bojanowski (CoRR, 2025)

DINOv3. - 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; et al. (CoRR, 2025)