| Video superresolution via motion compensation and deep residual learning D Li, Z Wang IEEE Transactions on Computational Imaging 3 (4), 749-762, 2017 | 107 | 2017 |
| Video super-resolution using non-simultaneous fully recurrent convolutional network D Li, Y Liu, Z Wang IEEE Transactions on Image Processing 28 (3), 1342-1355, 2018 | 38 | 2018 |
| Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network D Li, Y Liu, Z Wang 2017 IEEE International Conference on Image Processing (ICIP), 1642-1646, 2017 | 11 | 2017 |
| Video super-resolution with inverse recurrent net and hybrid local fusion D Li, Z Wang, J Yang Neurocomputing 489, 40-51, 2022 | 10 | 2022 |
| Face video super-resolution with identity guided generative adversarial networks D Li, Z Wang Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 6 | 2017 |
| A character-based method for license plate detection in complex scenes D Li, Z Wang Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016 | 4 | 2016 |
| Video Rescaling with Recurrent Diffusion D Li, Y Liu, Z Wang, J Yang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
Zengfu Wang/汪增福中国科学技术大学教授/中科院合肥智能机械研究所研究员在 ustc.edu.cn 的电子邮件经过验证
