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Kede Ma
Kede Ma
Assistant Professor of Computer Science, City University of Hong Kong
Подтвержден адрес электронной почты в домене cityu.edu.hk - Главная страница
Название
Процитировано
Процитировано
Год
Perceptual quality assessment for multi-exposure image fusion
K Ma, K Zeng, Z Wang
IEEE Transactions on Image Processing 24 (11), 3345-3356, 2015
10022015
Reversible data hiding in encrypted images by reserving room before encryption
K Ma, W Zhang, X Zhao, N Yu, F Li
IEEE Transactions on Information Forensics and Security 8 (3), 553-562, 2013
9112013
Image quality assessment: Unifying structure and texture similarity
K Ding, K Ma, S Wang, EP Simoncelli
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (5), 2567-2581, 2020
8732020
Blind image quality assessment using a deep bilinear convolutional neural network
W Zhang, K Ma, J Yan, D Deng, Z Wang
IEEE Transactions on Circuits and Systems for Video Technology 30 (1), 36-47, 2018
7912018
Waterloo exploration database: New challenges for image quality assessment models
K Ma, Z Duanmu, Q Wu, Z Wang, H Yong, H Li, L Zhang
IEEE Transactions on Image Processing 26 (2), 1004-1016, 2016
7522016
End-to-end blind image quality assessment using deep neural networks
K Ma, W Liu, K Zhang, Z Duanmu, Z Wang, W Zuo
IEEE Transactions on Image Processing 27 (3), 1202-1213, 2017
6002017
Reversibility improved data hiding in encrypted images
W Zhang, K Ma, N Yu
Signal Processing 94, 118-127, 2014
4612014
A patch-structure representation method for quality assessment of contrast changed images
S Wang, K Ma, H Yeganeh, Z Wang, W Lin
IEEE Signal Processing Letters 22 (12), 2387-2390, 2015
3942015
No-reference quality assessment of contrast-distorted images based on natural scene statistics
Y Fang, K Ma, Z Wang, W Lin, Z Fang, G Zhai
IEEE Signal Processing Letters 22 (7), 838-842, 2014
3912014
Perceptual quality assessment of smartphone photography
Y Fang, H Zhu, Y Zeng, K Ma, Z Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3792020
Robust multi-exposure image fusion: a structural patch decomposition approach
K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang
IEEE Transactions on Image Processing 26 (5), 2519-2532, 2017
3782017
dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs
K Ma, W Liu, T Liu, Z Wang, D Tao
IEEE Transactions on Image Processing 26 (8), 3951-3964, 2017
3612017
Uncertainty-aware blind image quality assessment in the laboratory and wild
W Zhang, K Ma, G Zhai, X Yang
IEEE Transactions on Image Processing 30, 3474-3486, 2021
2892021
Unified blind quality assessment of compressed natural, graphic, and screen content images
X Min, K Ma, K Gu, G Zhai, Z Wang, W Lin
IEEE Transactions on Image Processing 26 (11), 5462-5474, 2017
2692017
Comparison of full-reference image quality models for optimization of image processing systems
K Ding, K Ma, S Wang, EP Simoncelli
International Journal of Computer Vision 129 (4), 1258-1281, 2021
2422021
A quality-of-experience index for streaming video
Z Duanmu, K Zeng, K Ma, A Rehman, Z Wang
IEEE Journal of Selected Topics in Signal Processing 11 (1), 154-166, 2016
2272016
Multi-exposure image fusion by optimizing a structural similarity index
K Ma, Z Duanmu, H Yeganeh, Z Wang
IEEE Transactions on Computational Imaging 4 (1), 60-72, 2017
2082017
Deep guided learning for fast multi-exposure image fusion
K Ma, Z Duanmu, H Zhu, Y Fang, Z Wang
IEEE Transactions on Image Processing 29, 2808-2819, 2019
1832019
Blind image quality assessment via vision-language correspondence: A multitask learning perspective
W Zhang, G Zhai, Y Wei, X Yang, K Ma
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
1822023
Fast multi-scale structural patch decomposition for multi-exposure image fusion
H Li, K Ma, H Yong, L Zhang
IEEE Transactions on Image Processing 29, 5805-5816, 2020
1702020
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