个人简介
工作经历
2019年6月至今:南京理工大学计算机学院讲师
教育经历
2014年9月至2019年6月:中国科学技术大学,信息科学技术学院,模式识别与智能系统,获工学博士学位
2010年9月至2014年6月:南京理工大学,自动化学院,自动化,获工学学士学位
近期论文
查看导师新发文章
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[1] Dingyi Li, Yu Liu, Zengfu Wang. Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network. IEEE Transactions on Image Processing, 2019, 28(3): 1342-1355.(CCF-A类期刊,SCI检索期刊,影响因子:6.790)
[2] Dingyi Li, Zengfu Wang. Video Superresolution via Motion Compensation and Deep Residual Learning. IEEE Transactions on Computational Imaging, 2017, 3(4): 749-762.(SCI检索期刊,影响因子:4.546)
[3] Dingyi Li, Yu Liu, Zengfu Wang. Video Super-Resolution Using Motion Compensation and Residual Bidirectional Recurrent Convolutional Network. Proceedings of the IEEE International Conference on Image Processing (ICIP). 2017: 1642–1646.(口头汇报,CCF-C类会议,EI检索会议)
[4] Dingyi Li, Zengfu Wang. Face Video Super-Resolution with Identity Guided Generative Adversarial Networks. Proceedings of the CCF Chinese Conference on Computer Vision (CCF CCCV). 2017: 357-369.(EI检索会议)
[5] Dingyi Li, Zengfu Wang. A Character-Based Method for License Plate Detection in Complex Scenes. Proceedings of the Chinese Conference on Pattern Recognition (CCPR). 2016: 576–587.(EI检索会议)