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Théo Moutakanni
Théo Moutakanni
Meta - FAIR, Université Paris-Saclay - CentraleSupélec - MICS
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Title
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Cited by
Year
DINOv2: Learning Robust Visual Features without Supervision
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
Transactions on Machine Learning Research, 2023
2450*2023
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar
J Tolan, HI Yang, B Nosarzewski, G Couairon, HV Vo, J Brandt, J Spore, ...
Remote Sensing of Environment 300, 113888, 2024
57*2024
Unbiased single-cell morphology with self-supervised vision transformers
M Doron, T Moutakanni, ZS Chen, N Moshkov, M Caron, H Touvron, ...
bioRxiv, 2023.06. 16.545359, 2023
16*2023
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
HV Vo, V Khalidov, T Darcet, T Moutakanni, N Smetanin, M Szafraniec, ...
Transactions on Machine Learning Research, 2024
72024
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
T Moutakanni, P Bojanowski, G Chassagnon, C Hudelot, A Joulin, ...
arXiv preprint arXiv:2405.01469, 2024
42024
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
T Moutakanni, M Oquab, M Szafraniec, M Vakalopoulou, P Bojanowski
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
4*2024
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Articles 1–6