Brice Rauby

According to our database, Brice Rauby authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities.

Diganta Misra, Nizar Islah, Victor May, Brice Rauby, Zihan Wang, Justine Gehring, Antonio Orvieto, Muawiz Chaudhary, Eilif B. Muller, Irina Rish, Samira Ebrahimi Kahou, Massimo Caccia

CoRR, July, 2025

A Tracking Prior to Localization Workflow for Ultrasound Localization Microscopy.

Alexis Leconte, Jonathan Porée, Brice Rauby, Alice Wu, Nin Ghigo, Paul Xing, Stephen A. Lee, Chloé Bourquin, Gerardo Ramos-Palacios, Abbas F. Sadikot, Jean Provost

IEEE Trans. Medical Imaging, February, 2025

Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.

Brice Rauby, Paul Xing, Jonathan Porée, Maxime Gasse, Jean Provost

IEEE Trans. Image Process., 2025

2024

Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network.

Paul Xing, Jonathan Porée, Brice Rauby, Antoine Malescot, Eric Martineau, Vincent Perrot, Ravi L. Rungta, Jean Provost

IEEE Trans. Medical Imaging, February, 2024

2021

Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification.

Charles A. Kantor, Marta Skreta, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, Alexandra Luccioni, David Rolnick, Hugues Talbot

CoRR, 2021

Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks.

Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction.

Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network.

Charles A. Kantor, Brice Rauby, Léonard Boussioux, Emmanuel Jehanno, André-Philippe Drapeau Picard, Maxim Larrivée, Hugues Talbot

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020