| Learning with a generative adversarial network from a positive unlabeled dataset for image classification F Chiaroni, MC Rahal, N Hueber, F Dufaux 2018 25th ieee international conference on image processing (icip), 1368-1372, 2018 | 33 | 2018 |
| Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods F Chiaroni, MC Rahal, N Hueber, F Dufaux IEEE Signal Processing Magazine 38 (1), 31-41, 2021 | 19 | 2021 |
| Counter-examples generation from a positive unlabeled image dataset F Chiaroni, G Khodabandelou, MC Rahal, N Hueber, F Dufaux Pattern Recognition 107, 107527, 2020 | 16 | 2020 |
| Hallucinating a Cleanly Labeled Augmented Dataset from a Noisy Labeled Dataset Using GANs F Chiaroni, MC Rahal, N Hueber, F Dufaux 2019 26th IEEE International Conference on Image Processing (ICIP), 2019 | 15 | 2019 |
| Parametric Information Maximization for Generalized Category Discovery F Chiaroni, J Dolz, Z Imtiaz Masud, A Mitiche, I Ben Ayed Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13* | 2023 |
| Bag of tricks for fully test-time adaptation S Mounsaveng, F Chiaroni, M Boudiaf, M Pedersoli, I Ben Ayed Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning J Nicolas, F Chiaroni, I Ziko, O Ahmad, C Desrosiers, J Dolz Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions F Chiaroni, M Boudiaf, A Mitiche, I Ben Ayed arXiv preprint arXiv:2208.00287, 2022 | | 2022 |
| Weakly supervised learning for image classification and potentially moving obstacles analysis F Chiaroni Université Paris-Saclay, 2020 | | 2020 |
| Self-supervised classification of dynamic obstacles using the temporal information provided by videos SA Hamideche, F Chiaroni, MC Rahal arXiv preprint arXiv:1910.09094v2, 2019 | | 2019 |
| Classification d’images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif F Chiaroni, MC Rahal, F Dufaux, N Hueber Conférence Nationale en Intelligence Artificielle (CNIA) 2018 & Rencontre …, 2018 | | 2018 |
Frederic DufauxUniversité Paris-Saclay, CNRS, CentraleSupélec, L2SVerified email at l2s.centralesupelec.fr
