LR-CNN for fine-grained classification with varying resolution. - Marion Chevalier; Nicolas Thome; Matthieu Cord; Jérôme Fournier; Gilles Hénaff; Elodie Dusch (ICIP, 2015)

Deformable Part-based Fully Convolutional Network for Object Detection. - Taylor Mordan; Nicolas Thome; Gilles Hénaff; Matthieu Cord (BMVC, 2017)

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. - Taylor Mordan; Nicolas Thome; Gilles Hénaff; Matthieu Cord (NeurIPS, 2018)

Classifying low-resolution images by integrating privileged information in deep CNNs. - Marion Chevalier; Nicolas Thome; Gilles Hénaff; Matthieu Cord (Pattern Recognit. Lett., 2018)

End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. - Taylor Mordan; Nicolas Thome; Gilles Hénaff; Matthieu Cord (Int. J. Comput. Vis., 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)

Swapping Semantic Contents for Mixing Images. - Rémy Sun; Clément Masson; Gilles Hénaff; Nicolas Thome; Matthieu Cord (ICPR, 2022)

Test-Time Adaptation with Principal Component Analysis. - Thomas Cordier; Victor Bouvier; Gilles Hénaff; Céline Hudelot (CoRR, 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)

Semantic augmentation by mixing contents for semi-supervised learning. - Rémy Sun; Clément Masson; Gilles Hénaff; Nicolas Thome; Matthieu Cord (Pattern Recognit., 2024)