DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests.
CoRR, January, 2025
Optimization of deep neural network: a functional perspective with applications in image classification. (Optimisation des réseaux de neurones profonds: une perspective fonctionnelle et applications en classification d'image).
PhD thesis, 2022
Spherical perspective on learning with normalization layers.
Neurocomputing, 2022
Take One Gram of Neural Features, Get Enhanced Group Robustness.
CoRR, 2022
Localizing Objects with Self-supervised Transformers and no Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Spherical Perspective on Learning with Batch Norm.
CoRR, 2020