Exploration strategies for incremental learning of object-based visual saliency. - Céline Craye; David Filliat; Jean-Francois Goudou (ICDL-EPIROB, 2015)

On the use of intrinsic motivation for visual saliency learning. - Céline Craye; David Filliat; Jean-Francois Goudou (ICDL-EPIROB, 2016)

Environment exploration for object-based visual saliency learning. - Céline Craye; David Filliat; Jean-Francois Goudou (ICRA, 2016)

RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. - Céline Craye; David Filliat; Jean-Francois Goudou (IROS, 2016)

Training Discriminative Models to Evaluate Generative Ones. - Timothée Lesort; Jean-François Goudou; David Filliat (CoRR, 2018)

State representation learning for control: An overview. - Timothée Lesort; Natalia Díaz Rodríguez; Jean-François Goudou; David Filliat (Neural Networks, 2018)

Training Discriminative Models to Evaluate Generative Ones. - Timothée Lesort; Andrei Stoian; Jean-François Goudou; David Filliat (ICANN (3), 2019)

Exploring to learn visual saliency: The RL-IAC approach. - Céline Craye; Timothée Lesort; David Filliat; Jean-François Goudou (Robotics Auton. Syst., 2019)

BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. - Céline Craye; David Filliat; Jean-François Goudou (IEEE Trans. Cogn. Dev. Syst., 2019)

MAGECally invert images for realistic editing. - Asya Grechka; Jean-François Goudou; Matthieu Cord (BMVC, 2021)