Moutakanni, Théo

5 publications

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 2025 Scaling Channel-Adaptive Self-Supervised Learning Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice

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

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