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Kede Ma
Kede Ma
其他姓名马柯德
Assistant Professor of Computer Science, City University of Hong Kong
在 cityu.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
8682013
Perceptual quality assessment for multi-exposure image fusion
K Ma, K Zeng, Z Wang
IEEE Transactions on Image Processing 24 (11), 3345-3356, 2015
8262015
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
6442016
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
6182018
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
5822020
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
5332017
Reversibility improved data hiding in encrypted images
W Zhang, K Ma, N Yu
Signal Processing 94, 118-127, 2014
4452014
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
3602014
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
3502015
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
3442017
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
3312017
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
2802020
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
2262021
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
2222017
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
2062016
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
1902021
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
1872017
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
1572019
High dynamic range image compression by optimizing tone mapped image quality index
K Ma, H Yeganeh, K Zeng, Z Wang
IEEE Transactions on Image Processing 24 (10), 3086-3097, 2015
1482015
Perceptual evaluation of single image dehazing algorithms
K Ma, W Liu, Z Wang
2015 IEEE International Conference on Image Processing (ICIP), 3600-3604, 2015
1442015
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