Eye tracking for everyone K Krafka, A Khosla, P Kellnhofer, H Kannan, S Bhandarkar, W Matusik, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1213 | 2016 |
Adversarial Logit Pairing H Kannan, A Kurakin, I Goodfellow arXiv preprint arXiv:1803.06373, 2018 | 787 | 2018 |
High fidelity video prediction with large stochastic recurrent neural networks R Villegas, A Pathak, H Kannan, D Erhan, QV Le, H Lee Advances in Neural Information Processing Systems, 81-91, 2019 | 161 | 2019 |
Robodesk: A multi-task reinforcement learning benchmark H Kannan, D Hafner, C Finn, D Erhan | 24 | 2021 |
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning M Babaeizadeh, MT Saffar, D Hafner, H Kannan, C Finn, S Levine, ... arXiv preprint arXiv:2012.04603, 2020 | 15 | 2020 |
Adversarial logit pairing K Harini, K Alexey, G Ian arXiv preprint arXiv:1803.06373, 2018 | 10 | 2018 |
Eye tracking for the iPhone using deep learning HD Kannan Massachusetts Institute of Technology, 2017 | 5 | 2017 |
Eye tracking for everyone A Khosla, K Krafka, P Kellnhofer, H Kannan, S Bhandarkar, W Matusik, ... CVPR 2 (3), 4, 2016 | 4 | 2016 |
High fidelity video prediction with large neural nets R Villegas, A Pathak, H Kannan, D Erhan, Q Le, H Lee | | 2019 |
On Trade-offs of Image Prediction in Visual Model-Based Reinforcement Learning M Babaeizadeh, MT Saffar, D Hafner, D Erhan, H Kannan, C Finn, ... | | |