Zhengfang Duanmu
Zhengfang Duanmu
PhD student of Electrical and Computer Engineering, University of Waterloo
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
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
1722016
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
1122017
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
892016
Group mad competition-a new methodology to compare objective image quality models
K Ma, Q Wu, Z Wang, Z Duanmu, H Yong, H Li, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
502016
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
432017
A quality-of-experience database for adaptive video streaming
Z Duanmu, A Rehman, Z Wang
IEEE Transactions on Broadcasting 64 (2), 474-487, 2018
342018
Quality-of-experience of adaptive video streaming: Exploring the space of adaptations
Z Duanmu, K Ma, Z Wang
Proceedings of the 25th ACM international conference on Multimedia, 1752-1760, 2017
172017
Quality-of-experience prediction for streaming video
Z Duanmu, A Rehman, K Zeng, Z Wang
2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016
142016
Group maximum differentiation competition: Model comparison with few samples
K Ma, Z Duanmu, Z Wang, Q Wu, W Liu, H Yong, H Li, L Zhang
IEEE Transactions on pattern analysis and machine intelligence, 2018
102018
End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks.
W Liu, Z Duanmu, Z Wang
ACM Multimedia, 546-554, 2018
92018
Quality-of-experience for adaptive streaming videos: An expectation confirmation theory motivated approach
Z Duanmu, K Ma, Z Wang
IEEE Transactions on Image Processing 27 (12), 6135-6146, 2018
92018
AVC, HEVC, VP9, AVS2 or AV1?—A comparative study of state-of-the-art video encoders on 4K videos
Z Li, Z Duanmu, W Liu, Z Wang
International Conference on Image Analysis and Recognition, 162-173, 2019
72019
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
42019
Perceptual quality assessment of 3D point clouds
H Su, Z Duanmu, W Liu, Q Liu, Z Wang
2019 IEEE International Conference on Image Processing (ICIP), 3182-3186, 2019
42019
Temporal motion smoothness and the impact of frame rate variation on video quality
RM Nasiri, Z Duanmu, Z Wang
2018 25th IEEE International Conference on Image Processing (ICIP), 1418-1422, 2018
32018
Geometric transformation invariant image quality assessment using convolutional neural networks
K Ma, Z Duanmu, Z Wang
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
32018
Modeling generalized rate-distortion functions
Z Duanmu, W Liu, Z Li, Z Wang
IEEE Transactions on Image Processing, 2020
22020
Method and system for automatic user quality-of-experience measurement of streaming video
Z Wang, Z Duanmu
US Patent 10,673,921, 2020
12020
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach
Z Duanmu, W Liu, Z Li, K Ma, Z Wang
IEEE Transactions on Image Processing 29, 6180-6193, 2020
2020
Characterizing Generalized Rate-Distortion Performance of Videos
Z Duanmu, W Liu, Z Li, Z Wang
arXiv preprint arXiv:1912.07126, 2019
2019
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