Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization. - Thomas Duboudin; Emmanuel Dellandréa; Corentin Abgrall; Gilles Hénaff; Liming Chen 002 (ICCVW, 2021)

Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization. - Thomas Duboudin; Emmanuel Dellandréa; Corentin Abgrall; Gilles Hénaff; Liming Chen 002 (CoRR, 2021)

Look Beyond Bias with Entropic Adversarial Data Augmentation. - Thomas Duboudin; Emmanuel Dellandréa; Corentin Abgrall; Gilles Hénaff; Liming Chen 002 (ICPR, 2022)

Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation. - Thomas Duboudin; Emmanuel Dellandréa; Corentin Abgrall; Gilles Hénaff; Liming Chen 002 (CoRR, 2022)

Learning Less Generalizable Patterns for Better Test-Time Adaptation. - Thomas Duboudin; Emmanuel Dellandréa; Corentin Abgrall; Gilles Hénaff; Liming Chen 002 (VISIGRAPP (5: VISAPP), 2023)

Leveraging Edge Detection and Neural Networks for Better UAV Localization. - Théo Di Piazza; Enric Meinhardt-Llopis; Gabriele Facciolo; Bénédicte Bascle; Corentin Abgrall; Jean-Clément Devaux (IGARSS, 2024)