Core Deep Learning

Deep learning being now a key component of AD systems, it is important to get a better understanding of its inner workings, in particular the link between the specifics of the learning optimization and the key properties (performance, regularity, robustness, generalization) of the trained models.

Selected publications

  1. Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    under review, 2025
  2. David Perera*, Victor Letzelter*, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
    Advances in Neural Information Processing Systems (NeurIPS), 2024, 2024

  3. Bjoern Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
    European Conference on Computer Vision, 2024

  4. Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop Towards a Complete Analysis of People Fine-grained Understanding for Real-World Applications (T-CAP), 2024

  5. Jinglei Shi, Yihong Xu, Christine Guillemot
    IEEE Transactions on Image Processing, 2024

  6. Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
    International Conference On Machine Learning (ICML), 2024

  7. Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
    Computer Vision and Pattern Recognition, 2024

  8. Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
    CVPR 2024 Workshop on Prompting in Vision, 2024
  9. Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, and Gaël Richard
    Advances in Neural Information Processing Systems (NeurIPS), 2023

  10. Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    Colloque Francophone de Traitement du Signal et des Images, 2023

  11. Léon Zheng, Elisa Riccietti, Rémi Gribonval
    SIAM Journal on Mathematics of Data Science, 2023

  12. Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    International Conference on Learning Representations (ICLR), 2023
  13. Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
    Neurocomputing, 2022
  14. Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    European Conference on Computer Vision (ECCV), 2020