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Tianyi Li
Tianyi Li
Beihang University, ETH Zürich, Alibaba Group
Verified email at buaa.edu.cn
Title
Cited by
Cited by
Year
Reducing complexity of HEVC: A deep learning approach
M Xu, T Li, Z Wang, X Deng, R Yang, Z Guan
IEEE Transactions on Image Processing 27 (10), 5044-5059, 2018
3632018
Multi-frame quality enhancement for compressed video
R Yang, M Xu, Z Wang, T Li
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2662018
A Deep Learning Approach for Multi-Frame In-Loop Filter of HEVC
T Li, M Xu, C Zhu, R Yang, Z Wang, Z Guan
IEEE Transactions on Image Processing 28 (11), 5663-5678, 2019
1912019
DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC
T Li, M Xu, R Tang, Y Chen, Q Xing
IEEE Transactions on Image Processing 30, 5377 - 5390, 2020
1572020
A deep convolutional neural network approach for complexity reduction on intra-mode HEVC
T Li, M Xu, X Deng
2017 IEEE International Conference on Multimedia and Expo (ICME), 1255-1260, 2017
982017
Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis
X Wang, L Jiang, L Li, M Xu, X Deng, L Dai, X Xu, T Li, Y Guo, Z Wang, ...
IEEE transactions on medical imaging 40 (9), 2463-2476, 2021
692021
Early exit or not: Resource-efficient blind quality enhancement for compressed images
Q Xing, M Xu, T Li, Z Guan
European Conference on Computer Vision, 275-292, 2020
542020
Accelerate CTU partition to real time for HEVC encoding with complexity control
T Li, M Xu, X Deng, L Shen
IEEE Transactions on Image Processing 29, 7482-7496, 2020
202020
A DenseNet based approach for multi-frame in-loop filter in HEVC
T Li, M Xu, R Yang, X Tao
2019 Data Compression Conference (DCC), 270-279, 2019
202019
Deep multi-task learning based fast intra-mode decision for versatile video coding
Z Liu, T Li, Y Chen, K Wei, M Xu, H Qi
IEEE Transactions on Circuits and Systems for Video Technology 33 (10), 6101 …, 2023
132023
Multi-frame quality enhancement for compressed video
M Xu, R Yang, T Liu, T Li, Z Fang
US Patent 10,965,959, 2021
52021
Supplement to “Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images”
Q Xing, M Xu, T Li, Z Guan
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Articles 1–12