Mixed pooling neural networks for color constancy. - Damien Fourure; Rémi Emonet; Élisa Fromont; Damien Muselet; Alain Trémeau; Christian Wolf 001 (ICIP, 2016)

Semantic Segmentation via Multi-task, Multi-domain Learning. - Damien Fourure; Rémi Emonet; Élisa Fromont; Damien Muselet; Alain Trémeau; Christian Wolf 001 (S+SSPR, 2016)

Residual Conv-Deconv Grid Network for Semantic Segmentation. - Damien Fourure; Rémi Emonet; Élisa Fromont; Damien Muselet; Alain Trémeau; Christian Wolf 001 (BMVC, 2017)

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. - Damien Fourure; Rémi Emonet; Élisa Fromont; Damien Muselet; Natalia Neverova; Alain Trémeau; Christian Wolf 001 (Neurocomputing, 2017)

Réseaux de neurones convolutifs pour la segmentation sémantique et l'apprentissage d'invariants de couleur. (Convolutional neural networks for semantic segmentation and color constancy). - Damien Fourure (2017)

DAEMA: Denoising Autoencoder with Mask Attention. - Simon Tihon; Muhammad Usama Javaid; Damien Fourure; Nicolas Posocco; Thomas Peel (ICANN (1), 2021)

2Be3-Net: Combining 2D and 3D Convolutional Neural Networks for 3D PET Scans Predictions. - Ronan Thomas; Elsa Schalck; Damien Fourure; Antoine Bonnefoy; Iñaki Cervera-Marzal (MICAD, 2021)

Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol. - Damien Fourure; Muhammad Usama Javaid; Nicolas Posocco; Simon Tihon (ECML/PKDD (4), 2021)