Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2018)

Classification d'images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif(Image classification by learning on positive and unlabeled samples with a generative adversarial network). - Florent Chiaroni; Mohamed-Cherif Rahal; Frédéric Dufaux; Nicolas Hueber (CNIA+RJCIA, 2018)

Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2019)

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (CoRR, 2019)

Self-supervised classification of dynamic obstacles using the temporal information provided by videos. - Sid Ali Hamideche; Florent Chiaroni; Mohamed-Cherif Rahal (CoRR, 2019)

Counter-examples generation from a positive unlabeled image dataset. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (Pattern Recognit., 2020)

Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (IEEE Signal Process. Mag., 2021)

Mutual Information-based Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (CoRR, 2022)

Parametric Information Maximization for Generalized Category Discovery. - Florent Chiaroni; Jose Dolz; Imtiaz Masud Ziko; Amar Mitiche; Ismail Ben Ayed (ICCV, 2023)

Bag of Tricks for Fully Test-Time Adaptation. - Saypraseuth Mounsaveng; Florent Chiaroni; Malik Boudiaf; Marco Pedersoli; Ismail Ben Ayed (WACV, 2024)

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. - Julien Nicolas; Florent Chiaroni; Imtiaz Masud Ziko; Ola Ahmad; Christian Desrosiers; Jose Dolz (WACV, 2024)

Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. - Florent Chiaroni; Malik Boudiaf; Amar Mitiche; Ismail Ben Ayed (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations. - Florent Chiaroni; Ali Ayub; Ola Ahmad (CoRR, 2025)