| Transformers are rnns: Fast autoregressive transformers with linear attention A Katharopoulos, A Vyas, N Pappas, F Fleuret International conference on machine learning, 5156-5165, 2020 | 2816 | 2020 |
| Fast binary feature selection with conditional mutual information F Fleuret Journal of Machine learning research 5 (Nov), 1531-1555, 2004 | 1483 | 2004 |
| Multiple object tracking using k-shortest paths optimization J Berclaz, F Fleuret, E Turetken, P Fua IEEE transactions on pattern analysis and machine intelligence 33 (9), 1806-1819, 2011 | 1408 | 2011 |
| Multicamera people tracking with a probabilistic occupancy map F Fleuret, J Berclaz, R Lengagne, P Fua IEEE transactions on pattern analysis and machine intelligence 30 (2), 267-282, 2008 | 1146 | 2008 |
| Not all samples are created equal: Deep learning with importance sampling A Katharopoulos, F Fleuret International conference on machine learning, 2525-2534, 2018 | 751 | 2018 |
| Full-gradient representation for neural network visualization S Srinivas, F Fleuret Advances in neural information processing systems 32, 2019 | 417 | 2019 |
| Coarse-to-fine face detection F Fleuret, D Geman International Journal of computer vision 41 (1), 85-107, 2001 | 400 | 2001 |
| Transformers are sample-efficient world models V Micheli, E Alonso, F Fleuret arXiv preprint arXiv:2209.00588, 2022 | 329 | 2022 |
| Tracking multiple people under global appearance constraints HB Shitrit, J Berclaz, F Fleuret, P Fua 2011 International conference on computer vision, 137-144, 2011 | 329 | 2011 |
| Social scene understanding: End-to-end multi-person action localization and collective activity recognition T Bagautdinov, A Alahi, F Fleuret, P Fua, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 315 | 2017 |
| Robust people tracking with global trajectory optimization J Berclaz, F Fleuret, P Fua 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 301 | 2006 |
| Geonerf: Generalizing nerf with geometry priors MM Johari, Y Lepoittevin, F Fleuret Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 285 | 2022 |
| Eslam: Efficient dense slam system based on hybrid representation of signed distance fields MM Johari, C Carta, F Fleuret Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 269 | 2023 |
| Wildtrack: A multi-camera hd dataset for dense unscripted pedestrian detection T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, T Bagautdinov, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 248 | 2018 |
| Multi-commodity network flow for tracking multiple people HB Shitrit, J Berclaz, F Fleuret, P Fua IEEE transactions on pattern analysis and machine intelligence 36 (8), 1614-1627, 2013 | 239 | 2013 |
| Fast transformers with clustered attention A Vyas, A Katharopoulos, F Fleuret Advances in Neural Information Processing Systems 33, 21665-21674, 2020 | 222 | 2020 |
| Knowledge transfer with jacobian matching S Srinivas, F Fleuret International Conference on Machine Learning, 4723-4731, 2018 | 215 | 2018 |
| Comparing machines and humans on a visual categorization test F Fleuret, T Li, C Dubout, EK Wampler, S Yantis, D Geman Proceedings of the National Academy of Sciences 108 (43), 17621-17625, 2011 | 212 | 2011 |
| Exact acceleration of linear object detectors C Dubout, F Fleuret European Conference on Computer Vision, 301-311, 2012 | 199 | 2012 |
| Reducing noise in GAN training with variance reduced extragradient T Chavdarova, G Gidel, F Fleuret, S Lacoste-Julien Advances in Neural Information Processing Systems 32, 2019 | 190 | 2019 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
