Robustness and uncertainty

Autonomous vehicles must handle uncertainty and operate reliably under challenging conditions. Our research in uncertainty and robustness focuses on developing models that can accurately estimate their own uncertainty and maintain resilience against noisy or adversarial inputs

Selected publications

  1. 2025

  2. Learning to Steer: Input-dependent Steering for Multimodal LLMs
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
    NeurIPS 2025
  3. Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
    Adrien Cortés*, Rémi Rehm, and Victor Letzelter*
    ICML 2025
  4. 2024

  5. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
    David Perera*, Victor Letzelter*, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
    NeurIPS 2024
  6. The BRAVO Semantic Segmentation Challenge Results in UNCV2024
    Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomáš Vojíř, Jan Šochman, Jiří Matas, Michael Smith, Frank Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool
    ECCV 2024
  7. Reliability in Semantic Segmentation: Can We Use Synthetic Data?
    Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
    ECCV 2024
  8. Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
    Bjoern Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
    ECCV 2024
  9. ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
    Yuan Yin, Pegah Khayatan, Éloi Zablocki, Alexandre Boulch, Matthieu Cord
    ECCV Workshop W-CODA 2024
  10. Winner-takes-all learners are geometry-aware conditional density estimators
    Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
    ICML 2024
  11. Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
    Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
    CVPR 2024
  12. A Simple Recipe for Language-guided Domain Generalized Segmentation
    Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
    CVPR 2024
  13. Supervised Anomaly Detection for Complex Industrial Images
    Aimira Baitieva, David Hurych, Victor Besnier and Olivier Bernard
    CVPR 2024
  14. Learning to Generate Training Datasets for Robust Semantic Segmentation
    Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
    WACV 2024
  15. 2023

  16. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
    Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, and Gaël Richard
    NeurIPS 2023
  17. Packed Ensembles for efficient uncertainty estimation
    Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-Marc Martinez, Andrei Bursuc, and Gianni Franchi
    ICLR 2023
  18. 2022

  19. Latent Discriminant deterministic Uncertainty
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and David Filliat
    ECCV 2022
  20. Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
  21. 2021

  22. Robust Semantic Segmentation with Superpixel-Mix
    Gianni Franchi, Nacim Belkhir, Mai Lan Ha, Yufei Hu, Andrei Bursuc, Volker Blanz, Angela Yao
    BMVC 2021
  23. StyleLess layer: Improving robustness for real-world driving
    Julien Rebut, Andrei Bursuc, and Patrick Pérez
    IROS 2021
  24. Confidence Estimation via Auxiliary Models
    Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez
    TPAMI 2021
  25. Artificial Dummies for Urban Dataset Augmentation
    Antonín Vobecký, David Hurych, Michal Uřičář, Patrick Pérez, and Josef Šivic
    AAAI 2021
  26. 2020

  27. TRADI: Tracking deep neural network weight distributions for uncertainty estimation
    Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, and Isabelle Bloch
    ECCV 2020
  28. 2019

  29. Addressing Failure Prediction by Learning Model Confidence
    Charles Corbière, Nicolas Thome, Avner Bar-Hen, Matthieu Cord, and Patrick Pérez
    NeurIPS 2019
  30. Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search