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ORCIDFlorent Chiaroni
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2020 – today
- 2024
[j3]Florent Chiaroni
, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed:
Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9123-9138 (2024)- [c6]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: 1751-1761 - [c5]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. WACV 2024: 1925-1934 - 2023
- [c4]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Parametric Information Maximization for Generalized Category Discovery. ICCV 2023: 1729-1739 - [i7]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 abs/2307.05707 (2023) - [i6]Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed:
Bag of Tricks for Fully Test-Time Adaptation. CoRR abs/2310.02416 (2023) - 2022
- [i5]Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed:
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. CoRR abs/2208.00287 (2022) - [i4]Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. CoRR abs/2212.00334 (2022) - 2021
- [j2]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): 31-41 (2021) - 2020
- [j1]Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107: 107527 (2020)
2010 – 2019
- 2019
- [c3]Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. ICIP 2019: 3616-3620 - [i3]Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. CoRR abs/1910.01636 (2019) - [i2]Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. CoRR abs/1910.01968 (2019) - [i1]Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal:
Self-supervised classification of dynamic obstacles using the temporal information provided by videos. CoRR abs/1910.09094 (2019) - 2018
- [c2]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: 1368-1372 - [c1]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: 35-42
Coauthor Index
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