Dinov2: Learning robust visual features without supervision M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ... arXiv preprint arXiv:2304.07193, 2023 | 2727* | 2023 |
DOBF: A deobfuscation pre-training objective for programming languages MA Lachaux, B Roziere, M Szafraniec, G Lample Advances in Neural Information Processing Systems 34, 14967-14979, 2021 | 157* | 2021 |
Continuous surface embeddings N Neverova, D Novotny, M Szafraniec, V Khalidov, P Labatut, A Vedaldi Advances in Neural Information Processing Systems 33, 17258-17270, 2020 | 84 | 2020 |
Code translation with compiler representations M Szafraniec, B Roziere, H Leather, F Charton, P Labatut, G Synnaeve arXiv preprint arXiv:2207.03578, 2022 | 73 | 2022 |
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach HV Vo, V Khalidov, T Darcet, T Moutakanni, N Smetanin, M Szafraniec, ... arXiv preprint arXiv:2405.15613, 2024 | 11 | 2024 |
You Don't Need Data-Augmentation in Self-Supervised Learning T Moutakanni, M Oquab, M Szafraniec, M Vakalopoulou, P Bojanowski arXiv preprint arXiv:2406.09294, 2024 | 3 | 2024 |
Putting self-supervised token embedding on the tables M Szafraniec, G Marti, P Donnat 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 1 | 2017 |
DINOv2 Meets Text: A Unified Framework for Image-and Pixel-Level Vision-Language Alignment C Jose, T Moutakanni, D Kang, F Baldassarre, T Darcet, H Xu, D Li, ... arXiv preprint arXiv:2412.16334, 2024 | | 2024 |
Better (pseudo-) labels for semi-supervised instance segmentation F Porcher, C Couprie, M Szafraniec, J Verbeek arXiv preprint arXiv:2403.11675, 2024 | | 2024 |