Publications

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Preprints  |  2021  |  2020  |  2019  |  2018  |  2017  |  2016

● Preprints

Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming
Zhengfang Duanmu, Wentao Liu, Zhuoran Li, Diqi Chen, Zhou Wang, Yizhou Wang, and Wen Gao
[ArXiv] [Dataset]
A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming Videos
Zhengfang Duanmu, Diqi Chen, Wentao Liu, Zhuoran Li, Zhou Wang, Yizhou Wang, and Wen Gao
[ArXiv] [Code]

● 2021

Adaptive Streaming: From Bitrate Maximization to Rate-Distortion Optimization
Zhengfang Duanmu
University of Waterloo, 2021
[PDF]
Advisor: Prof. Zhou Wang
Quantifying Visual Image Quality: A Bayesian View
Zhengfang Duanmu, Wentao Liu, Zhongling Wang, and Zhou Wang
Annual Review of Vision Science, 2021
[Project] [Paper] [Reprint]

● 2020

Modeling Generalized Rate-Distortion Functions
Zhengfang Duanmu, Wentao Liu, Zhuoran Li, and Zhou Wang
IEEE Transactions on Image Processing (TIP), 2020
[Project] [Paper]
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach
Zhengfang Duanmu*, Wentao Liu*, Zhuoran Li, Kede Ma, and Zhou Wang (*Equal contribution)
IEEE Transactions on Image Processing (TIP), 2020
[Project] [Paper] [Demo]
Group Maximum Differentiation Competition: Model Comparison with Few Samples
Kede Ma, Zhengfang Duanmu, Zhou Wang, Qingbo Wu, Wentao Liu, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
[Project] [Paper] [Dataset] [Code]
Deep Guided Learning for Fast Multi-Exposure Image Fusion
Kede Ma, Zhengfang Duanmu, Hanwei Zhu, Yuming Fang, and Zhou Wang
IEEE Transactions on Image Processing (TIP), 2020
[Project] [Paper] [Code]

● 2019

Perceptual Quality Assessment of 3D Point Clouds
Honglei Su, Zhengfang Duanmu, Wentao Liu, Qi Liu, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2019
[Paper]
AVC, HEVC, VP9, AVS2 or AV1?—A Comparative Study of State-of-the-Art Video Encoders on 4K Videos
Zhuoran Li, Zhengfang Duanmu, Wentao Liu, and Zhou Wang
International Conference on Image Analysis and Recognition (ICIAR), 2019
[Paper]

● 2018

Quality-of-Experience for Adaptive Streaming Videos: An Expectation Confirmation Theory Motivated Approach
Zhengfang Duanmu, Kede Ma, and Zhou Wang
IEEE Transactions on Image Processing (TIP), 2018
[Paper] [Dataset] [Subjective Data]
End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks
Wentao Liu, Zhengfang Duanmu, and Zhou Wang
ACM Multimedia (MM), 2018
[Project] [Paper]
A Quality-of-Experience Database for Adaptive Video Streaming
Zhengfang Duanmu, Abdul Rehman, and Zhou Wang
IEEE Transactions on Broadcasting (TBC), 2018
[Project] [Preprint] [Dataset]
Temporal Motion Smoothness and The Impact of Frame Rate Variation on Video Quality
Rasoul Mohammadi Nasiri, Zhengfang Duanmu, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2018
[Paper]
Geometric Transformation Invariant Image Quality Assessment Using Convolutional Neural Networks
Kede Ma, Zhengfang Duanmu, and Zhou Wang
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
[PDF] [Tensorflow Code]
Multi-Exposure Image Fusion by Optimizing A Structural Similarity Index
Kede Ma, Zhengfang Duanmu, Hojatollah Yeganeh, and Zhou Wang
IEEE Transactions on Computational Imaging (TCI), Mar. 2018
[PDF] [Matlab Code] [Dataset]
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
Kede Ma, Wentao Liu, Kai Zhang, Zhengfang Duanmu, Zhou Wang, and Wangmeng Zuo
IEEE Transactions on Image Processing (TIP), Mar. 2018
[Project] [PDF] [Matlab Code] [Tensorflow Code]

● 2017

Quality-of-Experience of Adaptive Video Streaming: Exploring the Space of Adaptations
Zhengfang Duanmu, Kede Ma, and Zhou Wang
ACM Multimedia (MM), 2017
[Project] [PDF] [Video] [Subjective Data]
Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
Kede Ma, Zhengfang Duanmu, Qingbo Wu, Zhou Wang, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Transactions on Image Processing (TIP), Feb. 2017
[Project] [PDF]
A Quality-of-Experience Index for Streaming Video
Zhengfang Duanmu, Kai Zeng, Kede Ma, Abdul Rehman, and Zhou Wang
IEEE Journal of Selected Topics in Signal Processing (JSTSP), Feb. 2017
[Project] [PDF] [Dataset]
Perceptual Evaluation of Psychovisual Rate-Distortion Enhancement in Video Coding
Zhengfang Duanmu, Kai Zeng, Zhou Wang, and Mahzar Eisapour
Human Vision and Electronic Imaging Conference (HVEI), 2017
[PDF]

● 2016

Quality-of-Experience Prediction for Streaming Video
Zhengfang Duanmu, Abdul Rehman, Kai Zeng, and Zhou Wang
IEEE Conference on Multimedia and Expo (ICME), 2016 (Oral)
[PDF] [Slides]
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models
Kede Ma, Qingbo Wu, Zhou Wang, Zhengfang Duanmu, Hongwei Yong, Hongliang Li, and Lei Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (Spotlight)
[Project] [PDF] [Dataset] [Toolbox]
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