Gilles Hénaff

According to our database, Gilles Hénaff authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Semantic augmentation by mixing contents for semi-supervised learning.

Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord

Pattern Recognit., January, 2024

2023

Learning Less Generalizable Patterns for Better Test-Time Adaptation.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

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

CoRR, 2022

Test-Time Adaptation with Principal Component Analysis.

Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot

CoRR, 2022

Swapping Semantic Contents for Mixing Images.

Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Look Beyond Bias with Entropic Adversarial Data Augmentation.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

CoRR, 2021

Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization.

Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

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

2018

Classifying low-resolution images by integrating privileged information in deep CNNs.

Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Pattern Recognit. Lett., 2018

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection.

Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Deformable Part-based Fully Convolutional Network for Object Detection.

Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord

Proceedings of the British Machine Vision Conference 2017, 2017

2015

LR-CNN for fine-grained classification with varying resolution.

Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015