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2020 – today
- 2024
[j3]Rémy Sun
, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Semantic augmentation by mixing contents for semi-supervised learning. Pattern Recognit. 145: 109909 (2024)- 2023
- [c7]Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen:
Learning Less Generalizable Patterns for Better Test-Time Adaptation. VISIGRAPP (5: VISAPP) 2023: 349-358 - [i6]Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen:
Look Beyond Bias with Entropic Adversarial Data Augmentation. CoRR abs/2301.03844 (2023) - 2022
- [c6]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. ICPR 2022: 1280-1286 - [c5]Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall, Gilles Hénaff, Liming Chen:
Look Beyond Bias with Entropic Adversarial Data Augmentation. ICPR 2022: 2142-2148 - [i5]Rémy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord:
Swapping Semantic Contents for Mixing Images. CoRR abs/2205.10158 (2022) - [i4]Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot:
Test-Time Adaptation with Principal Component Analysis. CoRR abs/2209.05779 (2022) - [i3]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 abs/2210.09834 (2022) - 2021
- [c4]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: 51-60 - [i2]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 abs/2106.07916 (2021)
2010 – 2019
- 2019
- [j2]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): 1659-1679 (2019) - 2018
- [j1]Marion Chevalier, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Classifying low-resolution images by integrating privileged information in deep CNNs. Pattern Recognit. Lett. 116: 29-35 (2018) - [c3]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. NeurIPS 2018: 1317-1329 - 2017
- [c2]Taylor Mordan, Nicolas Thome, Gilles Hénaff, Matthieu Cord:
Deformable Part-based Fully Convolutional Network for Object Detection. BMVC 2017 - [i1]Taylor Mordan, Nicolas Thome, Matthieu Cord, Gilles Hénaff:
Deformable Part-based Fully Convolutional Network for Object Detection. CoRR abs/1707.06175 (2017) - 2015
- [c1]Marion Chevalier, Nicolas Thome, Matthieu Cord, Jérôme Fournier, Gilles Hénaff, Elodie Dusch:
LR-CNN for fine-grained classification with varying resolution. ICIP 2015: 3101-3105
Coauthor Index
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