Gilles Hénaff

According to our database1, Gilles Hénaff authored at least 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Semantic augmentation by mixing contents for semi-supervised learning.
Pattern Recognit., January, 2024

2023
Learning Less Generalizable Patterns for Better Test-Time Adaptation.
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.
CoRR, 2022

Test-Time Adaptation with Principal Component Analysis.
CoRR, 2022

Swapping Semantic Contents for Mixing Images.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Look Beyond Bias with Entropic Adversarial Data Augmentation.
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.
CoRR, 2021

Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization.
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.
Int. J. Comput. Vis., 2019

2018
Classifying low-resolution images by integrating privileged information in deep CNNs.
Pattern Recognit. Lett., 2018

Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection.
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.
Proceedings of the British Machine Vision Conference 2017, 2017

2015
LR-CNN for fine-grained classification with varying resolution.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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