| Deep Learning of Player Trajectory Representations for Team Activity Analysis G Mehrasa, Nazanin and Zhong, Yatao and Tung, Frederick and Bornn, Luke and Mori MIT Sloan Sports Analytics Conference, 2017 | 43* | 2017 |
| Learning person trajectory representations for team activity analysis N Mehrasa, Y Zhong, F Tung, L Bornn, G Mori arXiv preprint arXiv:1706.00893, 2017 | 17 | 2017 |
| Systems and methods for behavior understanding from trajectories Y Zhong, N Mehrasa, L Bornn, GP Mori US Patent 11,182,621, 2021 | 16 | 2021 |
| Time perception machine: Temporal point processes for the when, where and what of activity prediction Y Zhong, B Xu, GT Zhou, L Bornn, G Mori arXiv preprint arXiv:1808.04063, 2018 | 14 | 2018 |
| Geometry Driven Progressive Warping for One-Shot Face Animation Y Zhong, F Amjadi, I Zharkov arXiv preprint arXiv:2210.02391, 2022 | 1 | 2022 |
| Learning person trajectory features for sports video analysis Y Zhong Simon Fraser University, 2017 | 1 | 2017 |
| Progressive transformation of face information Y Zhong, F Amjadi, ID Zharkov US Patent 11,967,178, 2024 | | 2024 |
| Lightweight Portrait Matting via Regional Attention and Refinement Y Zhong, I Zharkov Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
