Profile image
Wentao Liu
PhD student
Office: E5-5013

About Me

I received the Ph.D. degree in the Electrical & Computer Engineering department from University of Waterloo in 2019. I obtained my BASc. and MASc. degree in Department of Automation from Tsinghua University, Beijing, China in 2011 and 2014, respectively.

I am now a researcher at HUAWEI Canada Inc.

My research interests include perceptual quality assessment; image and video processing; computational vision and multimedia communication.

Publications

Modeling Generalized Rate-Distortion Functions
Zhengfang Duanmu, Wentao Liu, Zhuoran Li, and Zhou Wang
IEEE Transactions on Image Processing (TIP), to appear, 2020
[Project] [Preprint]
Characterizing Generalized Rate-Distortion Performance of Video Coding: An Eigen Analysis Approach
Zhengfang Duanmu*, Wentao Liu*, Zhuoran Li, Kede Ma, and Zhou Wang
IEEE Transactions on Image Processing (TIP), 2020
[Project] [Preprint]
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), 2019.
[Project] [Preprint]
Perceptual Quality Assessment of 3d Point Clouds
Honglei Su, Zhengfang Duanmu, Wentao 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]
End-to-End Blind Quality Assessment of Compressed Videos Using Deep Neural Networks
Wentao Liu, Zhengfang Duanmu, and Zhou Wang
ACM Multimedia (MM), 2018 (oral)
[Project] [PDF]
Development of a Perceptually Calibrated Objective Metric for Auto White Balance
Elaine W. Jin, Yixuan Wang, and Wentao Liu
Electronic Imaging 2018, no. 12, 2018
[PDF]
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]
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs
Kede Ma, Wentao Liu, Tongliang Liu, Zhou Wang, and Dacheng Tao
IEEE Transactions on Image Processing (TIP), Aug. 2017
[PDF] [Matlab Code]
A Database For Perceptual Evaluation of Image Aesthetics
Wentao Liu, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2017 (oral)
[PDF] [Database]
Perceptual Evaluation of Single Image Dehazing Algorithms
Kede Ma, Wentao Liu, and Zhou Wang
IEEE International Conference on Image Processing (ICIP), 2015
[PDF] [Database]
Pseudo-Gabor Wavelet for Face Recognition
Xudong Xie, Wentao Liu, and Kin-Man Lam
SPIE Journal of Electronic Imageing (JEI), Jun. 2013
[PDF]
Combination of Global and Local Baseline-independent Features for Offline Arabic Handwriting Recognition
Ning Li, Xudong Xie, Wentao Liu, and Kin-Man Lam
IEEE Internaltional Conference on Pattern Recognition (ICPR), 2012
[PDF]
An Efficient Method for Occluded Face Recognition
Wentao Liu, Xudong Xie, and Kin-Man Lam
IEEE Internaltional Conference on Pattern Recognition (ICPR), 2012
[PDF]

PhD Dissertation

Generalized Rate-Distortion Functions of Videos
Wentao Liu

University of Waterloo, 2019. [Link]

Advisor: Prof. Zhou Wang

Education

PhD in Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada
Sep. 2014 - Jul. 2019
MASc. in Department of Automation, Tsinghua University, Beijing, China
Sep. 2011 - Jul. 2014
BASc. in Department of Automation, Tsinghua University, Beijing, China
Aug. 2007 - Jul. 2011
Copyright © Wentao Liu 2018

Last Updated: