This Dataset Does Not Exist: Training Models from Generated Images. - Victor Besnier; Himalaya Jain; Andrei Bursuc; Matthieu Cord; Patrick Pérez (ICASSP, 2020)

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (ICCV, 2021)

Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving. - Victor Besnier; David Picard; Alexandre Briot (ICIP, 2021)

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation. - Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot (CoRR, 2022)

Safety of automotive systems using Machine Learning. (Sécurité fonctionnelle des modèles d'apprentissage machine dans le contexte automobile). - Victor Besnier (2022)

A Pytorch Reproduction of Masked Generative Image Transformer. - Victor Besnier; Mickaël Chen (CoRR, 2023)

Supervised Anomaly Detection for Complex Industrial Images. - Aimira Baitieva; David Hurych; Victor Besnier; Olivier Bernard (CVPR, 2024)

Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion. - Nicolas Dufour; Victor Besnier; Vicky Kalogeiton; David Picard (CVPR, 2024)

Halton Scheduler for Masked Generative Image Transformer. - Victor Besnier; Mickaël Chen; David Hurych; Eduardo Valle; Matthieu Cord (ICLR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)