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 | 450 | 2019 |
Dense Classification and Implanting for Few-Shot Learning Y Lifchitz, Y Avrithis, S Picard, A Bursuc arXiv preprint arXiv:1903.05050, 2019 | 237 | 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 | 176 | 2013 |
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 | 154 | 2021 |
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 | 109 | 2020 |
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 | 97 | 2021 |
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 | 85 | 2022 |
What to hide from your students: Attention-guided masked image modeling I Kakogeorgiou, S Gidaris, B Psomas, Y Avrithis, A Bursuc, K Karantzalos, ... European Conference on Computer Vision, 300-318, 2022 | 80 | 2022 |
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 | 76 | 2020 |
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 | 52 | 2021 |
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 | 52 | 2020 |
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 | 52 | 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 | 41 | 2015 |
Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving A Ando, S Gidaris, A Bursuc, G Puy, A Boulch, R Marlet Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 39 | 2023 |
PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving T Buhet, E Wirbel, A Bursuc, X Perrotton arXiv preprint arXiv:2003.08744, 2020 | 32* | 2020 |
Lara: Latents and rays for multi-camera bird’s-eye-view semantic segmentation F Bartoccioni, É Zablocki, A Bursuc, P Pérez, M Cord, K Alahari Conference on Robot Learning, 1663-1672, 2023 | 26 | 2023 |
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 | 25* | 2021 |
Poda: Prompt-driven zero-shot domain adaptation M Fahes, TH Vu, A Bursuc, P Pérez, R De Charette Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24* | 2023 |
Encoding the latent posterior of bayesian neural networks for uncertainty quantification G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 23 | 2023 |
Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation A Vobecky, D Hurych, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Sivic European Conference on Computer Vision, 478-495, 2022 | 23 | 2022 |