Charles Corbière

16 papers A* 2A 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios.
EACL (Findings)
Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi
2025 A conf
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
IROS
Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi
2025 J jnl
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.
CoRR
Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi
2025 J jnl
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests.
CoRR
Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi
2025 A* conf
HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation.
CVPR
Mehdi Zayene, Jannik Endres, Albias Havolli, Charles Corbière, Salim Cherkaoui, Alexandre Kontouli, Alexandre Alahi
2025 J jnl
RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering.
CoRR
Léo Butsanets, Charles Corbière, Julien Khlaut, Pierre Manceron, Corentin Dancette
2024 J jnl
Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation.
CoRR
Mehdi Zayene, Jannik Endres, Albias Havolli, Charles Corbière, Salim Cherkaoui, Alexandre Kontouli, Alexandre Alahi
2022 — —
Apprentissage profond robuste pour la conduite autonome. (Robust deep learning for autonomous driving).
Charles Corbière
2022 J jnl
Confidence Estimation via Auxiliary Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
2022 J jnl
Robust Deep Learning for Autonomous Driving.
CoRR
Charles Corbière
2022 J jnl
Take One Gram of Neural Features, Get Enhanced Group Robustness.
CoRR
Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez
2020 J jnl
Confidence Estimation via Auxiliary Models.
CoRR
Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez
2019 A* conf
Addressing Failure Prediction by Learning Model Confidence.
NeurIPS
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
2019 J jnl
Addressing Failure Prediction by Learning Model Confidence.
CoRR
Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez
2017 — conf
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction.
ICCV Workshops
Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion
2017 J jnl
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction.
CoRR
Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion