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Florent Chiaroni
Florent Chiaroni
Thales Group
Adresse e-mail validée de thalesdigitalsolutions.ca
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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
332018
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
27*2023
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
222021
Counter-examples generation from a positive unlabeled image dataset
F Chiaroni, G Khodabandelou, MC Rahal, N Hueber, F Dufaux
Pattern Recognition 107, 107527, 2020
19*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
152019
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
42024
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
32024
Simplex Clustering via with Applications to Online Adjustment of Black-Box Predictions
F Chiaroni, M Boudiaf, A Mitiche, IB Ayed
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
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
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