Victor Besnier

According to our database, Victor Besnier authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Test-Time Conditioning with Representation-Aligned Visual Features.

Nicolas Sereyjol-Garros, Ellington Kirby, Victor Letzelter, Victor Besnier, Nermin Samet

CoRR, February, 2026

Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation.

Nicolas Sereyjol-Garros, Ellington Kirby, Victor Besnier, Nermin Samet

CoRR, January, 2026

2025

BIGFix: Bidirectional Image Generation with Token Fixing.

Victor Besnier, David Hurych, Andrei Bursuc, Eduardo Valle

CoRR, October, 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, Mickaël Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord

CoRR, February, 2025

Halton Scheduler for Masked Generative Image Transformer.

Victor Besnier, Mickaël Chen, David Hurych, Eduardo Valle, Matthieu Cord

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion.

Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Supervised Anomaly Detection for Complex Industrial Images.

Aimira Baitieva, David Hurych, Victor Besnier, Olivier Bernard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Pytorch Reproduction of Masked Generative Image Transformer.

Victor Besnier, Mickaël Chen

CoRR, 2023

2022

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

Victor Besnier

PhD thesis, 2022

Instance-Aware Observer Network for Out-of-Distribution Object Segmentation.

Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot

CoRR, 2022

2021

Learning Uncertainty for Safety-Oriented Semantic Segmentation in Autonomous Driving.

Victor Besnier, David Picard, Alexandre Briot

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation.

Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

This Dataset Does Not Exist: Training Models from Generated Images.

Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020