Gilles Hénaff

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Convolutional Network

Object Detection

Histogram Intersection Kernel

Semantic Content

Top Venues

Pattern Recognit.

Publications

Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145 (2024)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Look Beyond Bias with Entropic Adversarial Data Augmentation. CoRR (2023)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Learning Less Generalizable Patterns for Better Test-Time Adaptation. VISIGRAPP (5: VISAPP) (2023)
Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot
Test-Time Adaptation with Principal Component Analysis. CoRR (2022)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Look Beyond Bias with Entropic Adversarial Data Augmentation. ICPR (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. CoRR (2022)
Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
Swapping Semantic Contents for Mixing Images. ICPR (2022)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation. CoRR (2022)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization. CoRR (2021)
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization. ICCVW (2021)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection. Int. J. Comput. Vis. 127 (11-12) (2019)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS (2018)
Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. 116 (2018)
Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord
Deformable Part-based Fully Convolutional Network for Object Detection. BMVC (2017)
Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff
Deformable Part-based Fully Convolutional Network for Object Detection. CoRR (2017)
Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch
LR-CNN for fine-grained classification with varying resolution. ICIP (2015)