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Zefeng Ying
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2020 – today
- 2024
- [j3]Zelu Qi, Da Pan, Tianyi Niu, Zefeng Ying, Ping Shi:
Bridge the gap between practical application scenarios and cartoon character detection: A benchmark dataset and deep learning model. Displays 84: 102793 (2024) - [c7]Qipei Li, Zefeng Ying, Da Pan, Zhaoxin Fan, Ping Shi:
ESTGN: Enhanced Self-Mined Text Guided Super-Resolution Network for Superior Image Super Resolution. ICASSP 2024: 3655-3659 - [c6]Qirong Liang, Da Pan, Zefeng Ying, Ping Shi:
DefocusSR: An Efficient Framework for Defocus Image Super-Resolution Guided by Depth Information. ICASSP 2024: 6455-6459 - 2023
- [j2]Zefeng Ying, Da Pan, Ping Shi:
Blind Video Quality Assessment for Ultra-High-Definition Video Based on Super-Resolution and Deep Reinforcement Learning. Sensors 23(3): 1511 (2023) - [c5]Zelu Qi, Da Pan, Tianyi Niu, Zefeng Ying, Ping Shi:
CCDaS: A Benchmark Dataset for Cartoon Character Detection in Application Scenarios. IFTC (2) 2023: 369-381 - 2020
- [c4]Zefeng Ying, Da Pan, Ping Shi:
Quality Difference Ranking Model For Smartphone Camera Photo Quality Assessment. ICME Workshops 2020: 1-6
2010 – 2019
- 2019
- [j1]Hongtao Yang, Ping Shi, Dixiu Zhong, Da Pan, Zefeng Ying:
Blind Image Quality Assessment of Natural Distorted Image Based on Generative Adversarial Networks. IEEE Access 7: 179290-179303 (2019) - [c3]Hongtao Yang, Ping Shi, Saike He, Da Pan, Zefeng Ying, Ling Lei:
A Comprehensive Survey on Image Aesthetic Quality Assessment. ICIS 2019: 294-299 - 2018
- [c2]Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. CVPR 2018: 6373-6382 - [i1]Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang:
Blind Predicting Similar Quality Map for Image Quality Assessment. CoRR abs/1805.08493 (2018) - 2017
- [c1]Da Pan, Ping Shi, Dixiu Zhong, Ming Hou, Zefeng Ying, Sizhe Fu:
Weighted ensemble learning prediction for blind symmetrically distorted stereoscopic images. ICSAI 2017: 1297-1301
Coauthor Index
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last updated on 2024-08-07 22:25 CEST by the dblp team
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