Charles Corbière

According to our database, Charles Corbière authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models.

Antoine Saporta, Baptiste Callard, Corentin Dancette, Julien Khlaut, Charles Corbière, Léo Butsanets, Amaury Prat, Pierre Manceron

CoRR, April, 2026

DRIVINGVQA: A Dataset for Interleaved Visual Chain-of-Thought in Real-World Driving Scenarios.

Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering.

Léo Butsanets, Charles Corbière, Julien Khlaut, Pierre Manceron, Corentin Dancette

CoRR, December, 2025

DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests.

Charles Corbière, Simon Roburin, Syrielle Montariol, Antoine Bosselut, Alexandre Alahi

CoRR, January, 2025

Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model.

Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation.

Mehdi Zayene, Jannik Endres, Albias Havolli, Charles Corbière, Salim Cherkaoui, Alexandre Kontouli, Alexandre Alahi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2022

Apprentissage profond robuste pour la conduite autonome. (Robust deep learning for autonomous driving).

Charles Corbière

PhD thesis, 2022

Confidence Estimation via Auxiliary Models.

Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Deep Learning for Autonomous Driving.

Charles Corbière

CoRR, 2022

Take One Gram of Neural Features, Get Enhanced Group Robustness.

Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez

CoRR, 2022

2019

Addressing Failure Prediction by Learning Model Confidence.

Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction.

Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017