Guillaume Vray

Orcid: 0000-0003-3655-020X

According to our database1, Guillaume Vray authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology.
IEEE Trans. Medical Imaging, May, 2024

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer.
CoRR, 2023

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation.
IEEE Trans. Medical Imaging, 2021

SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning.
CoRR, 2020

SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
G2-VER: Geometry Guided Model Ensemble for Video-based Facial Expression Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019


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