Gilles Hénaff

16 papers A* 1A 1B 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2023	—	`conf`	Learning Less Generalizable Patterns for Better Test-Time Adaptation. VISIGRAPP (5: VISAPP) Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2023	J	`jnl`	Look Beyond Bias with Entropic Adversarial Data Augmentation. CoRR Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2022	J	`jnl`	Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation. CoRR Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2022	B	`conf`	Look Beyond Bias with Entropic Adversarial Data Augmentation. ICPR Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2022	B	`conf`	Swapping Semantic Contents for Mixing Images. ICPR Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2022	J	`jnl`	Swapping Semantic Contents for Mixing Images. CoRR Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
2022	J	`jnl`	Test-Time Adaptation with Principal Component Analysis. CoRR Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot
2021	J	`jnl`	Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization. CoRR Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2021	—	`conf`	Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization. ICCVW Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
2019	J	`jnl`	End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. Int. J. Comput. Vis. Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2018	J	`jnl`	Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2018	A*	`conf`	Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2017	A	`conf`	Deformable Part-based Fully Convolutional Network for Object Detection. BMVC Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
2017	J	`jnl`	Deformable Part-based Fully Convolutional Network for Object Detection. CoRR Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff
2015	B	`conf`	LR-CNN for fine-grained classification with varying resolution. ICIP Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch