Florent Chiaroni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Labeled Samples

Image Classification

Temporal Information

Top Venues

Pattern Recognit.

Publications

Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. WACV (2024)
Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. WACV (2024)
Julien Nicolas, Florent Chiaroni, Imtiaz Masud Ziko, Ola Ahmad, Christian Desrosiers, Jose Dolz
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning. CoRR (2023)
Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
Parametric Information Maximization for Generalized Category Discovery. ICCV (2023)
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed
Bag of Tricks for Fully Test-Time Adaptation. CoRR (2023)
Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR (2022)
Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed
Mutual Information-based Generalized Category Discovery. CoRR (2022)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. IEEE Signal Process. Mag. 38 (1) (2021)
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107 (2020)
Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal
Self-supervised classification of dynamic obstacles using the temporal information provided by videos. CoRR (2019)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. ICIP (2019)
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. CoRR (2019)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. CoRR (2019)
Florent Chiaroni, Mohamed-Cherif Rahal, Frédéric Dufaux, Nicolas Hueber
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). CNIA+RJCIA (2018)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification. ICIP (2018)