Thomas Fréour

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 8

Top Topics

Unsupervised Learning

Analytical Methods

Top Venues

Pattern Recognit.

Publications

Tristan Gomez, Thomas Fréour, Harold Mouchère
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study. CoRR (2022)
Tristan Gomez, Thomas Fréour, Harold Mouchère
Comparison of Attention Models and Post-hoc Explanation Methods for Embryo Stage Identification: A Case Study. ICPR Workshops (3) (2022)
Tristan Gomez, Magalie Feyeux, Nicolas Normand, Laurent David, Perrine Paul-Gilloteaux, Thomas Fréour, Harold Mouchère
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction. CoRR (2022)
Tristan Gomez, Thomas Fréour, Harold Mouchère
Metrics for saliency map evaluation of deep learning explanation methods. CoRR (2022)
Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère
BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention. Pattern Recognit. 132 (2022)
Tristan Gomez, Thomas Fréour, Harold Mouchère
Metrics for Saliency Map Evaluation of Deep Learning Explanation Methods. ICPRAI (1) (2022)
Chloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos
Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression. MICCAI (2) (2022)
Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère
Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model. CoRR (2021)