no code implementations • 18 Oct 2021 • Léo Hemamou, Arthur Guillon, Jean-Claude Martin, Chloé Clavel
In this article, we propose a new adversarial approach to remove sensitive information from the latent representation of neural networks without the need to collect any sensitive variable.
no code implementations • 19 Sep 2019 • Léo Hemamou, Ghazi Felhi, Jean-Claude Martin, Chloé Clavel
In this paper, we focus on studying influential non verbal social signals in asynchronous job video interviews that are discovered by deep learning methods.
no code implementations • 25 Jul 2019 • Léo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, Chloé Clavel
As part of a project to help recruiters, we collected a corpus of more than 7000 candidates having asynchronous video job interviews for real positions and recording videos of themselves answering a set of questions.
no code implementations • LREC 2014 • Demulier Virginie, Elisabetta Bevacqua, Florian Focone, Tom Giraud, Pamela Carreno, Brice Isableu, Sylvie Gibet, Pierre De Loor, Jean-Claude Martin
Recent technologies enable the exploitation of full body expressions in applications such as interactive arts but are still limited in terms of dyadic subtle interaction patterns.