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Tatjana Chavdarova
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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
118*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
1132019
Sgan: An alternative training of generative adversarial networks
T Chavdarova, F Fleuret
Proceedings of the IEEE conference on computer vision and pattern …, 2018
652018
Deep multi-camera people detection
T Chavdarova, F Fleuret
2017 16th IEEE international conference on machine learning and applications …, 2017
582017
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
262014
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
20*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
82018
Last-iterate convergence of saddle point optimizers via high-resolution differential equations
T Chavdarova, MI Jordan, M Zampetakis
arXiv preprint arXiv:2112.13826, 2021
72021
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
62021
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
52020
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
52017
The peril of popular deep learning uncertainty estimation methods
Y Liu, M Pagliardini, T Chavdarova, SU Stich
arXiv preprint arXiv:2112.05000, 2021
32021
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
32017
Solving constrained variational inequalities via an interior point method
T Yang, MI Jordan, T Chavdarova
arXiv preprint arXiv:2206.10575, 2022
12022
Improving Generalization via Uncertainty Driven Perturbations
M Pagliardini, G Manunza, M Jaggi, MI Jordan, T Chavdarova
arXiv preprint arXiv:2202.05737, 2022
12022
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
12015
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
Deep Generative Models and Applications
T Chavdarova
EPFL, 2020
2020
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Articles 1–20