| The Llama 3 Herd of Models AIM Llama Team arXiv preprint arXiv:2407.21783, 2024 | 2810* | 2024 |
| Fine-tuning CNN image retrieval with no human annotation F Radenović, G Tolias, O Chum IEEE transactions on pattern analysis and machine intelligence 41 (7), 1655-1668, 2018 | 1556 | 2018 |
| Working hard to know your neighbor's margins: Local descriptor learning loss A Mishchuk, D Mishkin, F Radenovic, J Matas Advances in neural information processing systems 30, 2017 | 837 | 2017 |
| CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples F Radenović, G Tolias, O Chum Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 753 | 2016 |
| Revisiting oxford and paris: Large-scale image retrieval benchmarking F Radenović, A Iscen, G Tolias, Y Avrithis, O Chum Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 515 | 2018 |
| Repeatability is not enough: Learning affine regions via discriminability D Mishkin, F Radenovic, J Matas Proceedings of the European Conference on Computer Vision (ECCV), 284-300, 2018 | 279 | 2018 |
| Hyperpoints and fine vocabularies for large-scale location recognition T Sattler, M Havlena, F Radenovic, K Schindler, M Pollefeys Proceedings of the IEEE international conference on computer vision, 2102-2110, 2015 | 196 | 2015 |
| Emu: Enhancing image generation models using photogenic needles in a haystack X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ... arXiv preprint arXiv:2309.15807, 2023 | 159 | 2023 |
| From single image query to detailed 3d reconstruction JL Schonberger, F Radenovic, O Chum, JM Frahm Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 144 | 2015 |
| Deep Shape Matching F Radenovic, G Tolias, O Chum Proceedings of the European Conference on Computer Vision (ECCV), 751-767, 2018 | 91 | 2018 |
| Targeted mismatch adversarial attack: Query with a flower to retrieve the tower G Tolias, F Radenovic, O Chum Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 83 | 2019 |
| Filtering, distillation, and hard negatives for vision-language pre-training F Radenovic, A Dubey, A Kadian, T Mihaylov, S Vandenhende, Y Patel, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| The 2021 Image Similarity Dataset and Challenge M Douze, G Tolias, E Pizzi, Z Papakipos, L Chanussot, F Radenovic, ... arXiv preprint arXiv:2106.09672, 2021 | 68* | 2021 |
| Neural basis models for interpretability F Radenovic, A Dubey, D Mahajan Advances in Neural Information Processing Systems 35, 8414-8426, 2022 | 58 | 2022 |
| From dusk till dawn: Modeling in the dark F Radenovic, JL Schonberger, D Ji, JM Frahm, O Chum, J Matas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 52 | 2016 |
| Cola: A benchmark for compositional text-to-image retrieval A Ray, F Radenovic, A Dubey, B Plummer, R Krishna, K Saenko Advances in Neural Information Processing Systems 36, 2024 | 46* | 2024 |
| Scalable interpretability via polynomials A Dubey, F Radenovic, D Mahajan Advances in neural information processing systems 35, 36748-36761, 2022 | 41 | 2022 |
| Making heads or tails: Towards semantically consistent visual counterfactuals S Vandenhende, D Mahajan, F Radenovic, D Ghadiyaram European Conference on Computer Vision, 261-279, 2022 | 40 | 2022 |
| Attention-based query expansion learning A Gordo, F Radenovic, T Berg European Conference on Computer Vision, 172-188, 2020 | 39 | 2020 |
| Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis LJ Stanković, V Popović-Bugarin, F Radenović Signal Processing 93 (7), 1921-1932, 2013 | 29 | 2013 |
Ondrej ChumCMP, CTU in PragueVerified email at cmp.felk.cvut.cz