| 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 | 27 | 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 | 14 | 2021 |
| 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 | 12 | 2019 |
| Counter-examples generation from a positive unlabeled image dataset F Chiaroni, G Khodabandelou, MC Rahal, N Hueber, F Dufaux Pattern Recognition 107, 107527, 2020 | 9* | 2020 |
| Mutual Information-based Generalized Category Discovery F Chiaroni, J Dolz, Z Imtiaz Masud, A Mitiche, I Ben Ayed arXiv preprint arXiv:2208.00287, 2022 | | 2022 |
| 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 |
