| 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 | 226* | 2018 |
| 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 | 163 | 2019 |
| Sgan: An alternative training of generative adversarial networks T Chavdarova, F Fleuret Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 92 | 2018 |
| Deep multi-camera people detection T Chavdarova, F Fleuret 2017 16th IEEE international conference on machine learning and applications …, 2017 | 87 | 2017 |
| Taming GANs with Lookahead-Minmax T Chavdarova, M Pagliardini, SU Stich, F Fleuret, M Jaggi ICLR 2021 - Proceedings of the Ninth International Conference on Learning …, 2021 | 39* | 2021 |
| A hybrid approach for emotion detection in support of affective interaction S Gievska, K Koroveshovski, T Chavdarova 2014 IEEE International Conference on Data Mining Workshop, 352-359, 2014 | 38 | 2014 |
| Last-Iterate Convergence of Saddle-Point Optimizers via High-Resolution Differential Equations T Chavdarova, MI Jordan, M Zampetakis arXiv preprint arXiv:2112.13826, 2021 | 20 | 2021 |
| The peril of popular deep learning uncertainty estimation methods Y Liu, M Pagliardini, T Chavdarova, SU Stich arXiv preprint arXiv:2112.05000, 2021 | 17 | 2021 |
| DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries J Heitmann, A Glangetas, J Doenz, J Dervaux, DM Shama, DH Garcia, ... NPJ digital medicine 6 (1), 104, 2023 | 15 | 2023 |
| Semantic perturbations with normalizing flows for improved generalization OK Yüksel, SU Stich, M Jaggi, T Chavdarova Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Solving Constrained Variational Inequalities via a First-order Interior Point-based Method T Yang, MI Jordan, T Chavdarova ICLR, 2023 | 12* | 2023 |
| The Wildtrack Multi-Camera Person Dataset T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, L Lettry, P Fua, ... Conference on Computer Vision and Pattern Recognition, 2018 | 10 | 2018 |
| Cijo Jose, Louis Lettry, Pascal Fua, Luc Van Gool, and François Fleuret. The wildtrack multi-camera person dataset T Chavdarova, P Baqué, S Bouquet, A Maksai arXiv preprint arXiv 1707, 2017 | 7 | 2017 |
| Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020 M Samiei, C Weis, L Schiavo, T Chavdarova, F Yousefi arXiv preprint arXiv:2012.01191, 2020 | 6 | 2020 |
| The wildtrack multi-camera person dataset T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, L Lettry, P Fua, ... arXiv preprint arXiv:1707.09299, 2017 | 5 | 2017 |
| What If…? Pandemic policy-decision-support to guide a cost-benefit-optimised, country-specific response G Mannarini, F Posa, T Bossy, L Massemin, J Fernandez-Castanon, ... PLOS Global Public Health 2 (8), e0000721, 2022 | 3 | 2022 |
| Improving generalization via uncertainty driven perturbations M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova arXiv preprint arXiv:2202.05737, 2022 | 3 | 2022 |
| Improved Adversarial Robustness via Uncertainty Targeted Attacks G Manunza, M Pagliardini, M Jaggi, T Chavdarova ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021 | 3 | 2021 |
| Continuous-time analysis for variational inequalities: An overview and desiderata T Chavdarova, YP Hsieh, MI Jordan arXiv preprint arXiv:2207.07105, 2022 | 2 | 2022 |
| A Primal-Dual Approach to Solving Variational Inequalities with General Constraints T Chavdarova, T Yang, M Pagliardini, M Jordan The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |
François FleuretUniversity of GenevaVerified email at fleuret.org
