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Théo Moutakanni
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2020 – today
- 2026
- [j5]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:
DINOv3. Trans. Mach. Learn. Res. 2026 (2026) - [i13]Delong Chen, Tejaswi Kasarla, Yejin Bang, Mustafa Shukor, Willy Chung, Jade Yu, Allen Bolourchi, Théo Moutakanni, Pascale Fung:
Action100M: A Large-scale Video Action Dataset. CoRR abs/2601.10592 (2026) - [i12]Kaustav Kundu, Ritvik Shrivastava
, Maxim Arap, Nanshu Wang, Xianhui Zhu, Quintin Fettes, Gautam Tiwari, Parth Suresh, Théo Moutakanni, Alejandro Castillejo Munoz, Allen Bolourchi, Pascale Fung, Pinar Donmez, Babak Damavandi, Anuj Kumar, Seungwhan Moon:
Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance. CoRR abs/2606.04970 (2026) - [i11]Elouan Gardes, Seung Eun Yi, Kartik Ahuja, Théo Moutakanni, Huy V. Vo, Piotr Bojanowski, Wolfgang M. Pernice, Loïc Landrieu, Camille Couprie:
Who Needs Labels? Adapting Vision Foundation Models With the Metadata You Already Have. CoRR abs/2606.05107 (2026) - 2025
- [j4]Théo Moutakanni
Cell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy. PLoS Comput. Biol. 21(12): 1013828 (2025) - [j3]Alice V. De Lorenci, Seung Eun Yi, Théo Moutakanni, Piotr Bojanowski, Camille Couprie, Juan C. Caicedo, Wolfgang Maximilian Anton Pernice:
Scaling Channel-Adaptive Self-Supervised Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c2]Cijo Jose, Théo Moutakanni
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CVPR 2025: 24905-24916 - [i10]Pascale Fung, Yoram Bachrach, Asli Celikyilmaz, Kamalika Chaudhuri, Delong Chen, Willy Chung, Emmanuel Dupoux, Hervé Jégou, Alessandro Lazaric, Arjun Majumdar, Andrea Madotto, Franziska Meier, Florian Metze, Théo Moutakanni, Juan Pino, Basile Terver, Joseph Tighe, Jitendra Malik:
Embodied AI Agents: Modeling the World. CoRR abs/2506.22355 (2025) - [i9]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
DINOv3. CoRR abs/2508.10104 (2025) - [i8]Delong Chen, Théo Moutakanni, Willy Chung, Yejin Bang, Ziwei Ji, Allen Bolourchi, Pascale Fung:
Planning with Reasoning using Vision Language World Model. CoRR abs/2509.02722 (2025) - [i7]Delong Chen, Mustafa Shukor, Théo Moutakanni, Willy Chung, Jade Yu, Tejaswi Kasarla, Allen Bolourchi, Yann LeCun, Pascale Fung:
VL-JEPA: Joint Embedding Predictive Architecture for Vision-language. CoRR abs/2512.10942 (2025) - 2024
- [j2]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:
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024) - [j1]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:
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. Trans. Mach. Learn. Res. 2024 (2024) - [c1]Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski:
You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. NeurIPS 2024 - [i6]Théo Moutakanni
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR abs/2405.01469 (2024) - [i5]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:
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach. CoRR abs/2405.15613 (2024) - [i4]Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski:
You Don't Need Data-Augmentation in Self-Supervised Learning. CoRR abs/2406.09294 (2024) - [i3]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:
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CoRR abs/2412.16334 (2024) - 2023
- [i2]Maxime Oquab, Timothée Darcet, Théo Moutakanni
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i1]Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Théo Moutakanni
Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar. CoRR abs/2304.07213 (2023)
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