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Computer Science

Photo of Dr Zeyu Fu

Dr Zeyu Fu

Lecturer in Computer Vision and Machine Learning



I am a Lecturer (Assistant Professor) in Computer Vision and Machine Learning at Department of Computer Science, University of Exeter.

Before that I 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. I 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. I 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.

Before Oxford I was a research assistant at the School of Engineering, Newcastle University, advised by Prof Satnam Dlay. I 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, I 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. I 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 I developed novel data association algorithms for multiple human tracking in video.

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

  • We are seeking a Postdoctoral Research Fellow at the University of Exeter (in collobration with Dr Jianbo Jiao from the University of Birmingham) to work on multi-modal learning (visual, text and audio) for video understanding

Research Interests

  • Visual survelliance:  detection, segmentation and tracking; trajectory prediction, pose estimation and bahaviour analysis; video anomaly detection and localization
  • Machine learning: self-supervised learning (Foundation Models), transfer learning, incremental learning, multi-modal learning
  • Medical image/video analysis: ultrasound, neuro-facial image analysis; image/video segmentation; human motion analysis for health monitoring
  • Satellite and drone imagery analysis: early detection of diasters and monitoring environmental changes
  • AI for Science: computational social science, biomedicine, engineering, and environment.


Research Experience

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

  • 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


  • PhD in Signal Processing and Machine Learning, 2015-2019, Newcastle University, UK

  • BEng (first-class) in Electrical and Electronics Engineering, 2012-2015, Newcastle University, UK

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Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.

| To Appear | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 |

To Appear

  • Fu Z, Lai X, Naqvi SM. Enhanced Detection Reliability for Human Tracking Based Video Analytics, International Conference on Information Fusion (FUSION), 2019 22th International Conference on Information Fusion (FUSION).




  • Yang Y, Xian Y, Fu Z, Naqvi SM. (2021) Video Anomaly Detection for Surveillance Based on Effective Frame Area, 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), pages 1136-1140. [PDF]
  • Fu Z, Sun Y, Zhang X, Stainton S, Barney S, Hogg J, Innes W, Dlay S. (2021) MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images, 2020 28th European Signal Processing Conference (EUSIPCO), 18th - 21st Jan 2021, 2020 28th European Signal Processing Conference (EUSIPCO), DOI:10.23919/eusipco47968.2020.9287561. [PDF]
  • Xie L, Yang Y, Zeyu F, Naqvi SM. (2021) Skeleton-based Fall Events Classification with Data Fusion, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 23rd - 25th Sep 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), DOI:10.1109/mfi52462.2021.9591192. [PDF]
  • Yang Y, Xian Y, Fu Z, Naqvi SM. (2021) Video Anomaly Detection for Surveillance Based on Effective Frame Area, 2021 IEEE 24th International Conference on Information Fusion (FUSION), 1st - 4th Nov 2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION), DOI:10.23919/fusion49465.2021.9626932. [PDF]
  • Fu Z, Jiao J, Suttie M, Noble JA. (2021) Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition. [PDF]






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Further information

Archived News

May 2023

  • A fully-funded PhD studentship based in EICDT is open for application (deadline: 1 June 2023). The project working with National Trust focuses on "Machine learning for mapping habitat histories".

Jan 2023

  • EPSRC- PhD Studentships (Autumn 2023 entry) are open for applications. I will be able to support your applications in the research areas of AI, Visual Computing and Medical Imaging. Please get in touch with your CV as soon as possible ahead of the deadline: 27 Feb 2023, if you intend to apply for the Studentships.

Dec 2022

  • An EPSRC-iCASE PhD studentship with Ordnance Survey is still open for application. The project is to work on "Machine learning for geospatial intelligence".

Oct 2022

  • Our paper titled “Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound” won the Best paper award at ECCV2022-MCV!

  • We have a fully-funded PhD studentship from NERC GW4+ DTP for Autumn 2023 entry. The project is to work on "Detecting the impacts of river plumes in coastal waters from satellite imagery using machine learning" (Deadline: 9 Jan 2023).

Aug 2022:

  • A paper named “Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound” from the PULSE project is accepted to the ECCV2022-MCV.

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.


Funded/Self-funded PhD Opportunities:

Postdoc Fellowship Funding Schemes:

Research Group

PhD students

MSc students

  • Rishav Bhattacharyya, Qianqian Han, Snehil Kumar, Dongyuan Wang, Hongding Yang, Kunyang Ye, Yinghui Zhang

UG students

  • Sam Cooklin, Sangeeth Sohan


  • UG 22-23: Kerem Arsoy, Nathan Baker, Jason Gurung, Alfie Hart, Jason Jashari, John Norman, Kimonas Tsiliras
  • MSc 22-23: Tianyu Gong 

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