Florent Chiaroni

According to our database, Florent Chiaroni authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Bag of Tricks for Fully Test-Time Adaptation.

Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Parametric Information Maximization for Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Mutual Information-based Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

CoRR, 2022

2021

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

2020

Counter-examples generation from a positive unlabeled image dataset.

Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux

Pattern Recognit., 2020

2019

Self-supervised classification of dynamic obstacles using the temporal information provided by videos.

Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal

CoRR, 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

Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN.

Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

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

Proceedings of the Actes de la Conférence Nationale d'Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle (CNIA+RJCIA 2018), 2018

Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification.

Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018