| Robust and decomposable average precision for image retrieval E Ramzi, N Thome, C Rambour, N Audebert, X Bitot Advances in Neural Information Processing Systems 34, 23569-23581, 2021 | 27 | 2021 |
| Hierarchical average precision training for pertinent image retrieval E Ramzi, N Audebert, N Thome, C Rambour, X Bitot European Conference on Computer Vision, 250-266, 2022 | 8 | 2022 |
| Hybrid energy based model in the feature space for out-of-distribution detection M Lafon, E Ramzi, C Rambour, N Thome arXiv preprint arXiv:2305.16966, 2023 | 6 | 2023 |
| Optimization of Rank Losses for Image Retrieval E Ramzi, N Audebert, C Rambour, A Araujo, X Bitot, N Thome arXiv preprint arXiv:2309.08250, 2023 | 1 | 2023 |
| ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation Y Karmim, E Ramzi, R Fournier-S'Niehotta, N Thome arXiv preprint arXiv:2407.07912, 2024 | | 2024 |
| GalLoP: Learning Global and Local Prompts for Vision-Language Models M Lafon, E Ramzi, C Rambour, N Audebert, N Thome arXiv preprint arXiv:2407.01400, 2024 | | 2024 |
Nicolas ThomeProfessor of Computer Science, Sorbonne University, FranceVerified email at sorbonne-universite.fr
