About Me

I am a third-year Ph.D. student at IMT Atlantique, advised by Prof. Vincent Gripon. Before that, I received my M.S. degree in Atlantique through the Grande École program.

I am interested in various topics in Computer Vision particularly few-shot learning and multi-modal learning.

Publications

	Yassir Bendou, Giulia Lioi, Bastien Pasdeloup, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux, Vincent Gripon "LLM meets Vision-Language Models for Zero-Shot One-Class Classification". Preprint 2024 Arxiv
	Jonathan Lys, Frederic Lin, Clément BELIVEAU, Jules Decaestecker, Yassir BENDOU, Aymane Abdali, Bastien Pasdeloup "FICUS: Few-Shot Image Classification With Unsupervised Segmentation". In IEEE EUSIPCO 2024
	Raphael Lafargue, Yassir Bendou, Bastien Pasdeloup, Jean-Philippe Diguet, Ian Reid, Vincent Gripon, Jack Valmadre "Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes". Preprint 2023 Arxiv Code
	Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene "Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning". In NeurIPS'W 2023 Arxiv Code
	Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso Garcia "A Statistical Model for Predicting Generalization in Few-Shot Classification". Best Student paper Nominee in IEEE EUSIPCO 2023 Arxiv Code
	Yassir Bendou, Yuqing Hu, Raphael Lafargue, Giulia Lioi, Bastien Pasdeloup, Stéphane Pateux, Vincent Gripon "EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients". Best paper in Journal of Imaging 2022 Arxiv Code