| Boosting few-shot visual learning with self-supervision S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 314 | 2019 |
| Dense Classification and Implanting for Few-Shot Learning Y Lifchitz, Y Avrithis, S Picard, A Bursuc arXiv preprint arXiv:1903.05050, 2019 | 181 | 2019 |
| A smartphone-based obstacle detection and classification system for assisting visually impaired people R Tapu, B Mocanu, A Bursuc, T Zaharia Proceedings of the IEEE International Conference on Computer Vision …, 2013 | 152 | 2013 |
| Learning representations by predicting bags of visual words S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 67 | 2020 |
| Localizing objects with self-supervised transformers and no labels O Siméoni, G Puy, HV Vo, S Roburin, S Gidaris, A Bursuc, P Pérez, ... arXiv preprint arXiv:2109.14279, 2021 | 46 | 2021 |
| Obow: Online bag-of-visual-words generation for self-supervised learning S Gidaris, A Bursuc, G Puy, N Komodakis, M Cord, P Pérez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 44 | 2021 |
| TRADI: Tracking deep neural network weight distributions G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 34 | 2020 |
| Kernel local descriptors with implicit rotation matching A Bursuc, G Tolias, H Jégou Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 34 | 2015 |
| Dynamic task weighting methods for multi-task networks in autonomous driving systems I Leang, G Sistu, F Bürger, A Bursuc, S Yogamani 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 28 | 2020 |
| This dataset does not exist: training models from generated images V Besnier, H Jain, A Bursuc, M Cord, P Pérez ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving T Buhet, E Wirbel, A Bursuc, X Perrotton arXiv preprint arXiv:2003.08744, 2020 | 22* | 2020 |
| What to hide from your students: Attention-guided masked image modeling I Kakogeorgiou, S Gidaris, B Psomas, Y Avrithis, A Bursuc, K Karantzalos, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 18 | 2022 |
| Image-to-lidar self-supervised distillation for autonomous driving data C Sautier, G Puy, S Gidaris, A Boulch, A Bursuc, R Marlet Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation V Besnier, A Bursuc, D Picard, A Briot Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Mobile video browsing and retrieval with the ovidius platform A Bursuc, T Zaharia, F Prêteux Proceedings of the 18th ACM international conference on Multimedia, 1659-1662, 2010 | 13 | 2010 |
| One Versus all for deep Neural Network for uncertaInty (OVNNI) quantification G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch IEEE Access 10, 7300-7312, 2021 | 12* | 2021 |
| Spherical perspective on learning with normalization layers S Roburin, Y de Mont-Marin, A Bursuc, R Marlet, P Pérez, M Aubry Neurocomputing 487, 66-74, 2022 | 11* | 2022 |
| Understanding and improving kernel local descriptors A Mukundan, G Tolias, A Bursuc, H Jégou, O Chum International Journal of Computer Vision 127 (11-12), 1723-1737, 2019 | 11 | 2019 |
| Rotation and translation covariant match kernels for image retrieval G Tolias, A Bursuc, T Furon, H Jégou Computer Vision and Image Understanding 140, 9-20, 2015 | 11 | 2015 |
| Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch arXiv preprint arXiv:2012.02818, 2020 | 9 | 2020 |
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