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Wei Zhou  BEng, PhD, SMIEEE

Dr Wei Zhou

(Ask me my pronouns)

BEng, PhD, SMIEEE

Lecturer in Intelligent Visual Computing

School of Computer Science and Informatics

Users
Available for postgraduate supervision

Overview

I am currently an Assistant Professor (Lecturer) in the School of Computer Science and Informatics, and a member of the Visual Computing research group. I am also a committee member of British Standards Institution and EPSRC Peer Review College. I serve as Chair for the Elections Committee of IEEE UK and Ireland SPS Chapter. I was a Postdoctoral Fellow at University of Waterloo, Canada. I received the Ph.D. degree from University of Science and Technology of China in 2021, joint with University of Waterloo from 2019 to 2021. I used to be a visiting professor in the School of AI at Dalian University of Technology; a visiting scholar in National Institute of Informatics, Japan; a research assistant with Intel; a research intern with Microsoft Research and Alibaba Group (both with outstanding awards). I am a Senior Member of IEEE. I was named in the 2024 edition of the Stanford University list of World Top 2% Scientists.

My research interests span multimedia computing, perceptual image processing, and computational vision. In recent years, I have published over 70 refereed papers in these areas, including those published in prestigious journals and international conferences. My research has achieved real-world impact on the development of low-level vision techniques at Alibaba Cloud. I received IEEE CASS VSPC Rising Star Honorable Mention Award (the first recipient in IQA research field worldwide) in 2024, ACM SIGMM China Outstanding Doctoral Dissertation Award (1st nationwide) in 2022, and Grand Challenge Winner Award (1st place) in CVPR CLIC 2021.

Please visit my personal website for more details.

Representative publications

  • Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images
    Wei Zhou, Z Wang
    IEEE Transactions on Circuits and Systems for Video Technology, 2024 | [The first perceptual depth quality measure for stereoscopic VR]
  • Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling
    Wei Zhou, Q Yang, W Chen, Q Jiang, G Zhai, W Lin
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2024 | [The useful tool to evaluate the perceptual quality of point clouds without reference]
  • Dehazed Image Quality Evaluation: From Partial Discrepancy to Blind Perception
    Wei Zhou, R Zhang, L Li, G Yue, J Gong, H Chen, H Liu
    IEEE Transactions on Intelligent Vehicles, 2024 | [The first RR/NR metric for dehazed images, testing on synthetic, real-world, and automotive imagery data, and can be applied to image dehazing]
  • Reduced-Reference Quality Assessment of Point Clouds via Content-Oriented Saliency Projection
    Wei Zhou, G Yue, R Zhang, Y Qin, H Liu
    IEEE Signal Processing Letters, 2023 | [The first image-based RR metric for 3D point clouds]
  • Blind Omnidirectional Image Quality Assessment: Integrating Local Statistics and Global Semantics
    Wei Zhou, Z Wang
    IEEE International Conference on Image Processing, 2023
  • Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity
    Wei Zhou, Z Wang
    ACM International Conference on Multimedia, 2022 | [The first work looks at the reconstructed quality of image super-resolution in a 2D fidelity space]
  • A Brief Survey on Adaptive Video Streaming Quality Assessment
    Wei Zhou, X Min, H Li, Q Jiang
    Journal of Visual Communication and Image Representation, 2022
  • No-Reference Quality Assessment for 360-degree Images by Analysis of Multifrequency Information and Local-global Naturalness
    Wei Zhou, J Xu, Q Jiang, Z Chen
    IEEE Transactions on Circuits and Systems for Video Technology, 2021 | [The first natural scene statistics algorithm for VR quality assessment]
  • Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
    Wei Zhou, Z Wang, Z Chen
    IEEE International Conference on Quality of Multimedia Experience, 2021 (Invited paper)
  • Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
    Wei Zhou, Z Chen
    IEEE International Symposium on Circuits and Systems, 2021
  • Tensor Oriented No-Reference Light Field Image Quality Assessment
    Wei Zhou, L Shi, Z Chen, J Zhang
    IEEE Transactions on Image Processing, 2020 | [The first work explores tensor theory for evaluating light field image quality]
  • Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
    Wei Zhou, Q Jiang, Y Wang, Z Chen, W Li
    Information Sciences, 2020
  • Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment
    Wei Zhou, Z Chen
    IEEE International Conference on Visual Communications and Image Processing, 2020
  • Dual-Stream Interactive Networks for No-Reference Stereoscopic Image Quality Assessment
    Wei Zhou, Z Chen, W Li
    IEEE Transactions on Image Processing, 2019 | [The first deep learning-based stereoscopic image quality prediction work considers the hierarchical dual-stream interactive nature of the human visual system]
  • Stereoscopic Video Quality Prediction Based on End-to-End Dual Stream Deep Neural Networks
    Wei Zhou, Z Chen, W Li
    Pacific-Rim Conference on Multimedia, 2018

Academic leadership

Associate Editor, IEEE Transactions on Neural Networks and Learning Systems, 2024-present

Associate Editor, Pattern Recognition (Elsevier), 2024-present

Associate Editor, Neurocomputing (Elsevier), 2024-present

Associate Editor, Signal, Image and Video Processing (Springer), 2023-present

Associate Editor, Human-centric Computing and Information Sciences, 2022-present

Area Chair, IEEE International Joint Conference on Neural Networks, 2025

Area Chair, ACM International Conference on Multimedia, 2024

Lead Special Session Chair, Advances in Medical Data Analysis for Multimedia Systems, IEEE ICME 2025

Lead Special Session Chair, Quality Assessment of AI-Driven Content: Generation and Enhancement, IEEE QoMEX 2025

Special Session Chair, AI-based Medical Image Quality Assessment and Enhancement Towards Better Disease Diagnosis, IEEE ICIP 2024

Session Chair, Image and Video Representation, Point Cloud Processing, IEEE ICIP 2024

Lead Special Session Chair, Quality Assessment and Enhancement for Multimedia Visual Signals, IEEE MMSP 2023

Lead Topic Editor, Visual Computing and Understanding: New Developments and Trends, 2024-2025

Topic/Guest Editor, Advances in Perceptual Quality Assessment of User Generated Contents, 2022-2024

Guest Editor, Special Issue on Quality of Experience for Metaverse, Elsevier Displays, 2022-2023

 

"Work hard, play hard. Do only what only you can do~"

If you are interested in working with me, please send me an email. Note that only matched students will be responded.

Publication

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

Articles

Conferences

Research

Research interests

Computational Vision and Photography

Multimedia Signal Processing in Visual Environments

Human-oriented Visual Perception and Optimization

Interpretation and Analysis of Optical Imaging

Intelligent Displays and Applications

 

Funded projects

Biomedical image processing for smart healthcare applications, Taith Research Mobility Funding, PI (2024-2025)

Exploring saliency detection in stereo VR image quality evaluation, DUT Collaboration Funding, PI (2023-2024)

Multi-source perceptual image and video quality assessment, Outstanding PhD Thesis Funding, PI (2020-2022)

 

Selected publications (* Equal contribution, ^ Corresponding author, more publications on Google Scholar):

  • Subjective and objective quality assessment of colonoscopy videos
     G Yue, L Zhang, J Du, T Zhou, Wei Zhou, W Lin
    IEEE Transactions on Medical Imaging (TMI), 2024
  • No-reference point cloud quality assessment via graph convolutional network
     W Chen, Q Jiang, Wei Zhou, F Shao, G Zhai, W Lin
    IEEE Transactions on Multimedia (TMM), 2024
  • Unsupervised low-light image enhancement with self-paced learning
     Y Luo, X Chen, J Ling, Wei Zhou, G Yue
    IEEE Transactions on Multimedia (TMM), 2024
  • Perceptual depth quality assessment of stereoscopic omnidirectional images
    Wei Zhou, Z Wang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
  • Dynamic hypergraph convolutional network for no-reference point cloud quality assessment
    W Chen, Q Jiang, Wei Zhou, L Xu, W Lin
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
  • Blind image quality assessment via adaptive graph attention
    H Wang, J Liu, H Tan, J Lou, X Liu, Wei Zhou, H Liu
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
  • Blind quality assessment of dense 3D point clouds with structure guided resampling
    Wei Zhou, Q Yang, W Chen, Q Jiang, G Zhai, W Lin
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024
  • Vision-language consistency guided multi-modal prompt learning for blind AI generated image quality assessment
    J Fu, Wei Zhou^, Q Jiang, H Liu, G Zhai
    IEEE Signal Processing Letters (SPL), 2024
  • A terramechanics-based dynamic model for motion control of unmanned tracked vehicles
    R Zhang, Wei Zhou, H Liu, J Gong, H Chen, Amir Khajepour
    IEEE Transactions on Intelligent Vehicles (TIV), 2024
  • Adaptive mixed-scale feature fusion network for blind AI-generated image quality assessment
    T Zhou, S Tan, Wei Zhou, Y Luo, Y Wang, G Yue
    IEEE Transactions on Broadcasting (TBC), 2024
  • FVIFormer: flow-guided global-local aggregation transformer network for video inpainting
    W Yan, Y Sun, G Yue, Wei Zhou, H Liu
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
  • Boundary refinement network for colorectal polyp segmentation in colonoscopy images
    G Yue, Y Li, W Jiang, Wei Zhou, T Zhou
    IEEE Signal Processing Letters (SPL), 2024
  • Dehazed image quality evaluation: from partial discrepancy to blind perception
    Wei Zhou, R Zhang, L Li, G Yue, J Gong, H Chen, H Liu
    IEEE Transactions on Intelligent Vehicles (TIV), 2024
  • Subjective and objective quality assessment of multi-attribute retouched face images
    G Yue, H Wu, W Yan, T Zhou, H Liu, Wei Zhou
    IEEE Transactions on Broadcasting (TBC), 2024
  • Reduced-reference quality assessment of point clouds via content-oriented saliency projection
    Wei Zhou, G Yue, R Zhang, Y Qin, H Liu
    IEEE Signal Processing Letters (SPL), 2023
  • Dual-constraint coarse-to-fine network for camouflaged object detection
    G Yue, H Xiao, H Xie, T Zhou, Wei Zhou, W Yan, B Zhao, T Wang, Q Jiang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
  • Blind omnidirectional image quality assessment: integrating local statistics and global semantics
    Wei Zhou, Z Wang
    IEEE International Conference on Image Processing (ICIP), 2023
  • Quality assessment of image super-resolution: balancing deterministic and statistical fidelity
    Wei Zhou, Z Wang
    ACM International Conference on Multimedia (ACM MM), 2022
  • LIQA: Lifelong blind image quality assessment
    J Liu*, Wei Zhou*, X Li, J Xu, Z Chen
    IEEE Transactions on Multimedia (TMM), 2022
  • Adaptive hypergraph convolutional network for no-reference 360-degree image quality assessment
    J Fu, C Hou, Wei Zhou^, J Xu, Z Chen
    ACM International Conference on Multimedia (ACM MM), 2022
  • GraphIQA: Learning distortion graph representations for blind image quality assessment
    S Sun, T Yu, J Xu, Wei Zhou, Z Chen
    IEEE Transactions on Multimedia (TMM), 2022
  • A bayesian deep image prior downscaling approach for high-resolution soil moisture estimation
    Y Fang, L Xu, Y Chen, Wei Zhou, Alexander Wong, David A Clausi
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2022
  • A brief survey on adaptive video streaming quality assessment
    Wei Zhou, X Min, H Li, Q Jiang
    Journal of Visual Communication and Image Representation (JVCI), 2022
  • No-reference quality assessment for 360-degree images by analysis of multifrequency information and local-global naturalness
    Wei Zhou, J Xu, Q Jiang, Z Chen
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
  • Blind omnidirectional image quality assessment with viewport oriented graph convolutional networks
    J Xu*, Wei Zhou*, Z Chen
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
  • Perceptual quality assessment of internet videos
    J Xu, J Li, X Zhou, Wei Zhou, B Wang, Z Chen
    ACM International Conference on Multimedia (ACM MM), 2021
  • Image super-resolution quality assessment: structural fidelity versus statistical naturalness
    Wei Zhou, Z Wang, Z Chen
    IEEE International Conference on Quality of Multimedia Experience (QoMEX), 2021 (Invited paper, Oral)
  • Deep multi-scale features learning for distorted image quality assessment
    Wei Zhou, Z Chen
    IEEE International Symposium on Circuits and Systems (ISCAS), 2021 (Oral)
  • Tensor oriented no-reference light field image quality assessment
    Wei Zhou, L Shi, Z Chen, J Zhang
    IEEE Transactions on Image Processing (TIP), 2020
  • Re-visiting discriminator for blind free-viewpoint image quality assessment
    S Ling, J Li, Z Che, Wei Zhou, J Wang, Patrick Le Callet
    IEEE Transactions on Multimedia (TMM),
    2020
  • Binocular rivalry oriented predictive auto-encoding network for blind stereoscopic image quality measurement
    J Xu*, Wei Zhou*, Z Chen, S Ling, Patrick Le Callet
    IEEE Transactions on Instrumentation & Measurement (TIM), 2020
  • A full-reference stereoscopic image quality measurement via hierarchical deep feature degradation fusion
    Q Jiang*, Wei Zhou*, X Chai, G Yue, F Shao, Z Chen
    IEEE Transactions on Instrumentation & Measurement (TIM), 2020
  • Stereoscopic omnidirectional image quality assessment based on predictive coding theory
    Z Chen, J Xu, C Lin, Wei Zhou
    IEEE Journal of Selected Topics in Signal Processing (JSTSP), 2020
  • Blind quality assessment for image superresolution using deep two-stream convolutional networks
    Wei Zhou, Q Jiang, Y Wang, Z Chen, W Li
    Information Sciences (INS), 2020
  • Deep local and global spatiotemporal feature aggregation for blind video quality assessment
    Wei Zhou, Z Chen
    IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020
  • Dual-stream interactive networks for no-reference stereoscopic image quality assessment
    Wei Zhou, Z Chen, W Li
    IEEE Transactions on Image Processing (TIP), 2019
  • No-reference light field image quality assessment based on spatial-angular measurement
    L Shi*, Wei Zhou*, Z Chen, J Zhang
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019
  • Stereoscopic video quality prediction based on end-to-end dual stream deep neural networks
    Wei Zhou, Z Chen, W Li
    Pacific-Rim Conference on Multimedia (PCM), 2018
  • Blind stereoscopic video quality assessment: from depth perception to overall experience
    Z Chen (advisor), Wei Zhou, W Li
    IEEE Transactions on Image Processing (TIP), 2018

 

Teaching

2024-2025, CM2101, Human Computer Interaction

2023-2024, CM6312, Adopting Technology (National Software Academy), module leader

Project supervisor for UG students (year 3)

Project supervisor for MSc students

Personal tutor for UG students (year 1 and year 2)

Personal tutor for MSc students

 

Biography

I have been an Assistant Professor (Lecturer) in the School of Computer Science and Informatics at Cardiff University since 2023. I am a member of Visual Computing Research Group. I am also a committee member of British Standards Institution. I am participating in the JPEG standardization activities.

Before that, I studied and worked in the Department of Electrical and Computer Engineering at University of Waterloo from 2019 to 2023. I used to be a visiting professor at Dalian University of Technology, a visiting scholar at National Institute of Informatics (Tokyo), a research assistant with Intel, a research intern in Microsoft Research and Alibaba Cloud. I had an educational background majored in Electrical Engineering at University of Science and Technology of China.

My research interests mainly focus on image/video processing, multimedia computing, applied perception, human-centric AI, computational photography, imaging, vision, displays, and machine learning. I aim to develop efficient and intelligent visual processing algorithms based on human perception, helping improve the quality of experience for human visual systems. I received the ACM SIGMM Outstanding Doctoral Dissertation Award (China Section) in 2022 and the Grand Challenge Winner Award in CVPR CLIC 2021.

Honours and awards

Grand Challenge Winner Award of CVPR CLIC Perceptual Metric Track

ACM SIGMM China Outstanding Doctoral Dissertation Award

Winner of Sensors Outstanding Reviewer Award

Journal of Electronics & Information Technology Outstanding Reviewer Award

Best Reviewer Award in IEEE VCIP

The President Award from Chinese Academy of Sciences (CAS)

The Award of Excellence from Microsoft Research

Outstanding Research Intern of Alibaba Group

Outstanding Doctoral Dissertation Funding Support of USTC

National Scholarship from USTC

MSCA Postdoctoral Fellowship Travel Grant from University of Nantes, France

Finalist of Presidential Postdoctoral Fellowship from Nanyang Technological University, Singapore

Interdisciplinary Research Sandpit from British Academy, Travel Grant

 

Supervisions

Current students

Yixiao Li (Visiting PhD student from BUAA, under the support of International Joint Funding for Doctoral Students)

  • Collaborated papers: IEEE TNNLS second-round review (First author), IEEE TIP under review (First author), CVPR under review (First author), IEEE ICME 2024 (First author)

Huasheng Wang (PhD student, CardiffU, Lead supervisor: Prof Hantao Liu) 

  • Collaborated papers: IEEE TCSVT (First author)

Jiang Liu (PhD student, CardiffU, Lead supervisor: Prof Hantao Liu)

  • Collaborated papers: IEEE TCSVT second-round review (First author)

I am also lnternal (Cardiff University) and External (Shanghai Jiao Tong University) Examiners of PhD Thesis.

From 2017 to 2021, I was leading a research group at USTC. Since 2019, I am also fortunate to work with many talented students at UWaterloo.

Armin Shafiee Sarvestani (PhD student, UWaterloo)

Yipeng Du (Undergraduate, UWaterloo)

Jinghan Zhou (PhD student, UWaterloo)

Shiyu Huang (Master student, USTC)

Yanding Peng (Master student, USTC)

Yiting Lu (PhD student, USTC)

Jun Fu (PhD, 2022 -> HW)

Jianzhao Liu (Master, 2022 -> Bytedance)

Ziyuan Luo (Master, 2021 -> Kwai)

Jiahua Xu (Master, 2021 -> Tencent, National Scholarship, Outstanding Master Thesis Award)

Ya Zhou (Master, 2020 -> Kwai)

Likun Shi (Master, 2019 -> SenseTime)

Xinyu Tang (Undergraduate, 2019 -> Princeton PhD, Guo Moruo Scholarship)

Chaoyi Lin (Master, 2018 -> Hikvision)

 

 

Contact Details

Email ZhouW26@cardiff.ac.uk

Campuses Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG

Research themes

Specialisms

  • Image processing
  • Video processing
  • Computer vision and multimedia computation
  • Artificial intelligence