Tianyi Li
Info
| Degree | Ph.D Student | Date of Enrollment | 2017 |
| tianyili@buaa.edu.cn | (+86) 130-7011-0005 | ||
| Interest Fields | Video Coding, Image Quality Assessment, Deep Learning | ||
| Address | MC2 Lab, Beihang University | ||
Tianyi Li (S'17) received the B.S. degree in the electrical enginneering from Beihang University in 2017. He is currently working towards the doctor's degree. Mr Li received the National Scholarship from the MOE of China, and the Outstanding Guaduate Student Award of Beijing.
His Publications
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Tianyi Li, Mai Xu, Xin Deng and Liquan Shen, "Accelerate CTU Partition to Real Time for HEVC Encoding with Complexity Control", in IEEE Transactions on Image Processing (TIP), 2020.
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Qunliang Xing, Mai Xu, Tianyi Li and Zhenyu Guan, "Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images," in European Conference on Computer Vision (ECCV), 2020.
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Tianyi Li, Mai Xu, Ce Zhu, Ren Yang, Zulin Wang and Zhenyu Guan, "A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC," in IEEE Transactions on Image Processing (TIP), 2019.
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Tianyi Li, Mai Xu, Ren Yang and Xiaoming Tao, "A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC," in Data Compression Conference (DCC), 2019.
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Mai Xu*; Tianyi Li; Zulin Wang; Xin Deng; Ren Yang; Zhenyu Guan, "Reducing Complexity of HEVC: A Deep Learning Approach," IEEE Transactions on Image Processing (TIP), 2018.
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Ren Yang, Mai Xu, Zulin Wang and Tianyi Li, "Multi-Frame Quality Enhancement for Compressed Video", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
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Tianyi Li, Mai Xu, and Xin Deng. "A deep convolutional neural network approach for complexity reduction on intra-mode HEVC." In 2017 IEEE International Conference on Multimedia and Expo (ICME), pp. 1255-1260. IEEE, 2017.
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