Oquab, Maxime

13 publications

TMLR 2025 Cluster and Predict Latents Patches for Improved Masked Image Modeling Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski

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 2024 Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

NeurIPS 2024 You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski

CVPR 2023 Co-Training 2l Submodels for Visual Recognition Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou

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

NeurIPS 2019 Learning About an Exponential Amount of Conditional Distributions Mohamed Belghazi, Maxime Oquab, David Lopez-Paz

ICLR 2017 Revisiting Classifier Two-Sample Tests David Lopez-Paz, Maxime Oquab

ECCV 2016 ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev

CVPR 2015 Is Object Localization for Free? - Weakly-Supervised Learning with Convolutional Neural Networks Maxime Oquab, Leon Bottou, Ivan Laptev, Josef Sivic

CVPR 2014 Learning and Transferring Mid-Level Image Representations Using Convolutional Neural Networks Maxime Oquab, Leon Bottou, Ivan Laptev, Josef Sivic