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Parth Kothari
Parth Kothari
PhD Student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Human trajectory forecasting in crowds: A deep learning perspective
P Kothari, S Kreiss, A Alahi
IEEE Transactions on Intelligent Transportation Systems, 2021
952021
Ttt++: When does self-supervised test-time training fail or thrive?
Y Liu, P Kothari, B van Delft, B Bellot-Gurlet, T Mordan, A Alahi
Advances in Neural Information Processing Systems 34, 21808-21820, 2021
172021
Interpretable social anchors for human trajectory forecasting in crowds
P Kothari, B Sifringer, A Alahi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172021
Collaborative Sampling in Generative Adversarial Networks
Y Liu, P Kothari, A Alahi
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020
112020
Human Trajectory Prediction using Adversarial Loss
P Kothari, A Alahi
19th Swiss Transport Research Conference, 2019
62019
Adversarial Loss for Human Trajectory Prediction
P Kothari, A Alahi
hEART 2019: 8th Symposium of the European Association for Research in …, 2019
52019
Drivergym: Democratising reinforcement learning for autonomous driving
P Kothari, C Perone, L Bergamini, A Alahi, P Ondruska
arXiv preprint arXiv:2111.06889, 2021
42021
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
P Kothari, A Alahi
arXiv preprint arXiv:2209.12243, 2022
2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
P Kothari, D Li, Y Liu, A Alahi
6th Annual Conference on Robot Learning, 0
VITA
A Alahi, M Bahari, S Bauer, M Behjati, K Benzi, L Bertoni, L Fonjallaz, ...
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