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Qunliang Xing
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MFQE 2.0: A new approach for multi-frame quality enhancement on compressed video
Q Xing, Z Guan, M Xu, R Yang, T Liu, Z Wang
IEEE transactions on pattern analysis and machine intelligence 43 (3), 949-963, 2019
2102019
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, 2021
1332021
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
392020
NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results
R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
342022
NTIRE 2022 challenge on stereo image super-resolution: Methods and results
L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, L Chen, X Chu, W Yu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
302022
Progressive training of a two-stage framework for video restoration
Q Xing, M Zheng, M Qiao, M Xu, L Jiang, H Liu, Y Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
62022
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
Q Xing, M Xu, X Deng, Y Guo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
12023
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
Q Xing, M Xu, S Li, X Deng, M Zheng, H Liu, Y Chen
arXiv preprint arXiv:2402.17200, 2024
2024
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