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2020 – today
- 2021
[c6]Asya Grechka, Jean-François Goudou, Matthieu Cord:
MAGECally invert images for realistic editing. BMVC 2021: 93
2010 – 2019
- 2019
- [j3]Céline Craye, Timothée Lesort
, David Filliat, Jean-François Goudou:
Exploring to learn visual saliency: The RL-IAC approach. Robotics Auton. Syst. 112: 244-259 (2019) - [j2]Céline Craye, David Filliat, Jean-François Goudou:
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. IEEE Trans. Cogn. Dev. Syst. 11(3): 347-362 (2019) - [c5]Timothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat:
Training Discriminative Models to Evaluate Generative Ones. ICANN (3) 2019: 604-619 - 2018
- [j1]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State representation learning for control: An overview. Neural Networks 108: 379-392 (2018) - [i3]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State Representation Learning for Control: An Overview. CoRR abs/1802.04181 (2018) - [i2]Céline Craye, Timothée Lesort, David Filliat, Jean-Francois Goudou:
Exploring to learn visual saliency: The RL-IAC approach. CoRR abs/1804.00435 (2018) - [i1]Timothée Lesort, Jean-François Goudou, David Filliat:
Training Discriminative Models to Evaluate Generative Ones. CoRR abs/1806.10840 (2018) - 2016
- [c4]Céline Craye, David Filliat, Jean-Francois Goudou:
On the use of intrinsic motivation for visual saliency learning. ICDL-EPIROB 2016: 158-165 - [c3]Céline Craye, David Filliat, Jean-Francois Goudou:
Environment exploration for object-based visual saliency learning. ICRA 2016: 2303-2309 - [c2]Céline Craye, David Filliat, Jean-Francois Goudou:
RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. IROS 2016: 4877-4884 - 2015
- [c1]Céline Craye, David Filliat, Jean-Francois Goudou:
Exploration strategies for incremental learning of object-based visual saliency. ICDL-EPIROB 2015: 13-18
Coauthor Index
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