| 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 | 126* | 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 | 118 | 2019 |
| Sgan: An alternative training of generative adversarial networks T Chavdarova, F Fleuret Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 67 | 2018 |
| Deep multi-camera people detection T Chavdarova, F Fleuret 2017 16th IEEE international conference on machine learning and applications …, 2017 | 62 | 2017 |
| 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 | 30 | 2014 |
| 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 | 22* | 2021 |
| 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 | 9 | 2018 |
| Last-iterate convergence of saddle point optimizers via high-resolution differential equations T Chavdarova, MI Jordan, M Zampetakis arXiv preprint arXiv:2112.13826, 2021 | 7 | 2021 |
| 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 | 6 | 2021 |
| 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 | 5 | 2020 |
| 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 | 5 | 2017 |
| The peril of popular deep learning uncertainty estimation methods Y Liu, M Pagliardini, T Chavdarova, SU Stich arXiv preprint arXiv:2112.05000, 2021 | 4 | 2021 |
| 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 | 3 | 2017 |
| Solving constrained variational inequalities via an interior point method T Yang, MI Jordan, T Chavdarova arXiv preprint arXiv:2206.10575, 2022 | 2 | 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 | 2 | 2021 |
| Improving Generalization via Uncertainty Driven Perturbations M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova arXiv preprint arXiv:2202.05737, 2022 | 1 | 2022 |
| Analysis and implementation of frequency domain equalizer for single carrier system in the 60 GHz band T Chavdarova, G Jakimovski, B Jovanov, A Tentov, M Malenko New Trends in Networking, Computing, E-learning, Systems Sciences, and …, 2015 | 1 | 2015 |
| Revisiting the ACVI Method for Constrained Variational Inequalities T Chavdarova, M Pagliardini, T Yang, MI Jordan arXiv preprint arXiv:2210.15659, 2022 | | 2022 |
| 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 | | 2022 |
| Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata T Chavdarova, YP Hsieh, MI Jordan arXiv preprint arXiv:2207.07105, 2022 | | 2022 |
François FleuretUniversity of GenevaVerified email at fleuret.org
