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ORCIDCharles Corbière
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2020 – today
- 2022
[b1]Charles Corbière:
Apprentissage profond robuste pour la conduite autonome. (Robust deep learning for autonomous driving). HESAM University, France, 2022- [j1]Charles Corbière
, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6043-6055 (2022) - [i5]Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez:
Take One Gram of Neural Features, Get Enhanced Group Robustness. CoRR abs/2208.12625 (2022) - [i4]Charles Corbière:
Robust Deep Learning for Autonomous Driving. CoRR abs/2211.07772 (2022) - 2020
- [i3]Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez:
Confidence Estimation via Auxiliary Models. CoRR abs/2012.06508 (2020)
2010 – 2019
- 2019
- [c2]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. NeurIPS 2019: 2898-2909 - [i2]Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, Patrick Pérez:
Addressing Failure Prediction by Learning Model Confidence. CoRR abs/1910.04851 (2019) - 2017
- [c1]Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion:
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. ICCV Workshops 2017: 2268-2274 - [i1]Charles Corbière, Hédi Ben-Younes, Alexandre Ramé, Charles Ollion:
Leveraging Weakly Annotated Data for Fashion Image Retrieval and Label Prediction. CoRR abs/1709.09426 (2017)
Coauthor Index
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