Dr Zeyu Fu
Lecturer in Computer Vision
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 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.
- Oct 2023, Congrats to Fu Wang (co-supervised with Dr Wenjie Ruan) for his recent work on assessing reliability of machine learning optimization getting accepted for presentation in NeurIPS 2023 workshop (Optimization for Machine Learning).
- July 2023, A paper titled "Abnormal event detection for video surveillance using an enhanced two stream fusion method" co-authored with Newcastle University is accepted for publication in Neurocomputing.
- May 2023, Congrats to Fu Wang (co-supervised with Dr Wenjie Ruan) for his first MICCAI paper Self-adaptive Adversarial Training for Robust Medical Segmentation getting early accepted (top 14%)!
- May 2023, A paper titled "A Scene-Adaptive Framework for Pose-Oriented Abnormal Event Detection" co-authored with Newcastle University is accepted for publication in EUSIPCO 2023. (Oral presentation)
- Feb 2023, A paper titled "One-shot Medical Action Recognition with A Cross-Attention Mechanism and Dynamic Time Warping" co-authored with Newcastle University is accepted for publication in IEEE ICASSP 2023.
- Jan 2023, A paper titled "Towards Multi-sweep Ultrasound Video Understanding: Application in Detection of Breech Position using Statistical Priors" from the CALOPUS project is accepted for publication in IEEE ISBI 2023. (Best Runner-Up Oral Presentation)
- Nov 2022, A paper titled "A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans" from the PULSE project is accepted for publication in IEEE Transactions on Medical Imaging.
- Oct 2022, Our paper titled "Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound" wins the Best paper award at ECCV2022-MCV and is featured in Best of ECCV of Computer Vision News!
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