Toward a Procedural Fruit Tree Rendering Framework for Image Analysis. - Thomas Duboudin; Maxime Petit; Liming Chen 002 (CoRR, 2019)

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)