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ORCIDLi Ma 0009
Person information
- affiliation: Peking University, National Engineering Laboratory for Video Technology, School of Computer Science, Beijing, China
Other persons with the same name
- Li Ma — disambiguation page
- Li Ma 0001 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Li Ma 0002 — IBM China Research Lab, Beijing, China
- Li Ma 0003
![[0000-0002-3110-9821]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3110-9821")
— Jiangsu University, School of Electrical and Information Engineering, Zhenjiang, China (and 1 more) - Li Ma 0004 — Gannan Normal University, College of Mathematics and Computers, Ganzhou, China (and 1 more)
- Li Ma 0005 — China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan, China (and 1 more)
- Li Ma 0006 — University of Abertay, Dundee, UK
- Li Ma 0007 — North China University of Technology, China
- Li Ma 0008 — Tongji University, College of Electronics and Information Engineering, Shanghai, China (and 1 more)
- Li Ma 0010 — Xi'an University of Posts and Telecommunications, Provincial Key Laboratory of Network Data Analysis and Intelligent Processing, Shaanxi, China
- Li Ma 0011 — Foshan University, School of Electronic and Information Engineering, China
- Li Ma 0012 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
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2020 – today
- 2024
[j3]Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. 33: 3620-3633 (2024)- [i3]Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR abs/2405.09291 (2024) - 2023
- [j2]Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian:
Picking Up Quantization Steps for Compressed Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1884-1898 (2023) - [i2]Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian:
Picking Up Quantization Steps for Compressed Image Classification. CoRR abs/2304.10714 (2023) - 2021
- [c3]Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Reducing Image Compression Artifacts for Deep Neural Networks. DCC 2021: 355 - [c2]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. ICCV 2021: 448-457 - [i1]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. CoRR abs/2108.08487 (2021)
2010 – 2019
- 2019
- [j1]Li Ma, Yonghong Tian, Peiyin Xing, Tiejun Huang:
Residual-Based Post-Processing for HEVC. IEEE Multim. 26(4): 67-79 (2019) - 2018
- [c1]Li Ma, Yonahong Tian, Tieiun Huang:
Residual-Based Video Restoration for HEVC Intra Coding. BigMM 2018: 1-7
Coauthor Index
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