Zeyu Fu

Zeyu Fu

Lecturer (Assistant Professor) in Computer Vision

Department of Computer Science, University of Exeter

Biography

Zeyu Fu is a Lecturer (Assistant Professor) in Computer Vision at Department of Computer Science, University of Exeter.

Before that he was a postdoctoral researcher at the Department of Engineering Science, University of Oxford, and was a member of Oxford Biomedical Image Analysis (BioMedIA) group, advised by Prof Alison Noble and Dr Michael Suttie. He worked on a NIH funded project which is conjunction with Collaborative Initiative on Fetal Alcohol Spectrum Disorders (CIFASD), to develop a fully automated, objective evaluation of facial features associated with FASD, utilizing 3D surface modelling, deep learning and shape analysis. He also worked on an ERC funded project named Perception Ultrasound by Learning Sonographic Experience (PULSE), which aims to develop multi-modal machine learning and computer vision systems that can model the sonograher’s expertise to reduce the need for highly trained ultrasound operators.

He was a research assistant at the School of Engineering, Newcastle University, advised by Prof Satnam Dlay. He worked on a MRC-CiC sponsored project to apply cutting edge non-contact ocular imaging, and machine/deep learning techniques to find a means of improving diagnosis of the most common medical complication of pregnancy, pre-eclamptic toxaemia. At the same institution, he obtained the Ph.D. degree in signal processing and machine learning and was a member of Signal Processing and AI research group, advised by Prof Jonathon Chambers and Dr Mohsen Naqvi. He worked on a DSTL & EPSRC funded project of ‘Signal Processing Solutions for the Networked Battlespace’ and was part of the LSSCN Contortium of University Defence Research Collaboration (UDRC), where he developed novel data association algorithms for multiple human tracking in video.

Interests
  • Computer Vision
  • Machine Learning
  • Medical Image Analysis
  • AI for Healthcare
  • Information Fusion
Education
  • PhD in Signal Processing and Machine Learning, 2019

    Newcastle University, UK

  • BEng (first-class) in Electrical and Electronics Engineering, 2015

    Newcastle University, UK

Prospective Students/Researchers

Highly self-motivated UG/MSc/PhD students, research fellows, and visiting students/scholars with any of above interests are welcomed to join my team. Please drop me email with your CV and research interests if you are interested in working with me.

Funded/Self-funded PhD Oppurtinies:

Postdoc Fellowship Funding Schemes:

News

Jun 2022:

Jan 2022:

  • A paper named “A Two-Stream Information Fusion Approach to Abnormal Event Detection in Video” in colloboration with Newcastle University is accepted to the IEEE ICASSP 2022.

  • A paper named “End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation” from the PULSE project is accepted to the IEEE ISBI 2022.

Sep 2021:

Aug 2021:

Apr 2021:

Oct 2020:

  • Zeyu presented the paper named “Cross-Task Representation Learning for Anatomical Landmark Detection” from the CIFASD project at MICCAI-MLMI 2020.

Recent Publications

Quickly discover relevant content by filtering publications.

A more detailed publication list can be found in Google Scholar.

(2022). A Two-Stream Information Fusion Approach to Abnormal Event Detection in Video. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cite DOI

(2022). End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. In IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Cite DOI

(2021). Facial Anatomical Landmark Detection Using Regularized Transfer Learning With Application to Fetal Alcohol Syndrome Recognition. In IEEE Journal of Biomedical and Health Informatics.

Cite DOI

(2021). Video Anomaly Detection for Surveillance Based on Effective Frame Area. In IEEE 24th International Conference on Information Fusion (FUSION).

Cite DOI

(2020). 2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling. In IEEE Transactions on Multimedia.

Cite DOI

(2020). Cross-Task Representation Learning for Anatomical Landmark Detection. In MICCAI-MLMI 2020.

Cite DOI

(2019). Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking. In IEEE Transactions on Multimedia.

Cite DOI

Research Experience

 
 
 
 
 
Lecturer (Assistant Professor)
University of Exeter
Jun 2022 – Present Exeter, UK
 
 
 
 
 
Postdoctoral Researcher
University of Oxford
Jan 2020 – Jun 2022 Oxford, UK
 
 
 
 
 
Research Assistant
Newcastle University
May 2019 – Jan 2020 Newcastle Upon Tyne, UK
 
 
 
 
 
Doctoral Researcher
Newcastle University
Sep 2015 – Sep 2019 Newcastle Upon Tyne, UK

Teaching Experience

 
 
 
 
 
MSC/PhD Co-superviser
Jun 2017 – Present
 
 
 
 
 
Teaching Assistant
Sep 2015 – Sep 2019 Newcastle Upon Tyne, UK

Modules include:

  • EEE Stage II Laboratories
  • EEE3004-Digital & Intelligent Signal Processing

Supervision of MSC/UG students

Professional Services

Organizing Commitee:

Journal Reviewer:

  • IEEE Transactions on Multimedia, IEEE Transactions on Signal Processing, Signal Processing (Elsevier), Medical Image Analysis (Elsevier), IEEE Journal of Biomedical and Informatics, IEEE Access, IET Image Processing, Sensors (MDPI) and Journal of Obstetrics & Gynaecology.

Conference Reviewer:

  • MIUA, MICCAI and ICASSP.

Membership:

  • Member, Institute of Electrical and Electronics Engineers (IEEE)

Accomplishments & Awards

Deep Learning Specification
Best paper Honourable Mention in Annual Research Conference (ARC)
Travel Grant to attend the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
School of EEE Research Scholarship
School of EEE Overseas Scholarships

Contact