Overview

Background

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.

News

• [Jan 2024] A paper titled "Automating the Human Action of First-trimester Biometry Measurement from Real-world Freehand Ultrasound" from the PULSE project is accepted for publication in Ultrasound in Medicine & Biology.
• [Oct 2023] Congrats to Fu Wang (co-supervised with Dr Wenjie Ruan) for his 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!

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

Education

• 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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Publications

_{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).

2023

• Yang Y, Fu Z, Naqvi SM. (2023) A SCENE-ADAPTIVE FRAMEWORK FOR POSE-ORIENTED ABNORMAL EVENT DETECTION, European Signal Processing Conference, pages 521-525, DOI:10.23919/EUSIPCO58844.2023.10289739.
• Wang F, Fu Z, Zhang Y, Ruan W. (2023) Self-adaptive Adversarial Training for Robust Medical Segmentation, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 14222 LNCS, pages 725-735, DOI:10.1007/978-3-031-43898-1_69.
• Xie L, Yang Y, Fu Z, Naqvi SM. (2023) Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data. [PDF]
• Gleed AD, Mishra D, Chandramohan V, Fu Z, Self A, Bhatnagar S, Papageorghiou AT, Noble JA. (2023) Towards Multi-Sweep Ultrasound Video Understanding: Application in Detection of Breech Position Using Statistical Priors, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 18th - 21st Apr 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), DOI:10.1109/isbi53787.2023.10230662. [PDF]
• Fu Z. (2023) Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound, Computer Vision – ECCV 2022 Workshops Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III, Springer Nature.
• Xie L, Yang Y, Fu Z, Naqvi SM. (2023) One-Shot Medical Action Recognition With A Cross-Attention Mechanism And Dynamic Time Warping, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4th - 10th Jun 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), DOI:10.1109/icassp49357.2023.10097186. [PDF]
• Yasrab R, Fu Z, Zhao H, Lee LH, Sharma H, Drukker L, Papageorgiou AT, Noble JA. (2023) A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans, IEEE Transactions on Medical Imaging, volume 42, no. 5, pages 1301-1313, DOI:10.1109/tmi.2022.3226274. [PDF]

2022

• Fu Z, Jiao J, Yasrab R, Drukker L, Papageorghiou AT, Noble JA. (2022) Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. [PDF]
• Yang Y, Fu Z, Naqvi SM. (2022) A Two-Stream Information Fusion Approach to Abnormal Event Detection in Video, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 23rd - 27th May 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), DOI:10.1109/icassp43922.2022.9746420. [PDF]
• Yasrab R, Fu Z, Drukker L, Lee LH, Zhao H, Papageorghiou AT, Noble JA. (2022) End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 28th - 31st Mar 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), DOI:10.1109/isbi52829.2022.9761400. [PDF]
• Fu Z, Jiao J, Suttie M, Noble JA. (2022) Facial Anatomical Landmark Detection Using Regularized Transfer Learning With Application to Fetal Alcohol Syndrome Recognition, IEEE Journal of Biomedical and Health Informatics, volume 26, no. 4, pages 1591-1601, DOI:10.1109/jbhi.2021.3110680. [PDF]

2021

• 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]

2020

• Fu Z, Jiao J, Suttie M, Noble JA. (2020) Cross-Task Representation Learning for Anatomical Landmark Detection, DOI:10.1007/978-3-030-59861-7_59.
• Angelini F, Fu Z, Long Y, Shao L, Naqvi SM. (2020) 2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling, IEEE Transactions on Multimedia, volume 22, no. 6, pages 1433-1446, DOI:10.1109/tmm.2019.2944745. [PDF]
• Fu Z, Sun Y, Zhang X, Stainton S, Barney S, Hogg J, Innes W, Dlay S. (2020) MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images. [PDF]
• Fu Z, Jiao J, Suttie M, Noble JA. (2020) Cross-Task Representation Learning for Anatomical Landmark Detection. [PDF]

2019

• Sun Y, Fu Z, Stainton S, Barney S, Hogg J, Innes W, Dlay S. (2019) Automated Retinal Layer Segmentation of OCT Images Using Two-Stage FCN and Decision Mask, 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 10th - 12th Dec 2019, 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), DOI:10.1109/isspit47144.2019.9001884. [PDF]
• Yang Y, Fu Z, Naqvi SM. (2019) Enhanced Adversarial Learning Based Video Anomaly Detection with Object Confidence and Position, 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 16th - 18th Dec 2019, 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), DOI:10.1109/icspcs47537.2019.9008722. [PDF]
• Lai X, Zhou L, Fu Z, Naqvi SM, Chambers J. (2019) Enhanced pooling method for convolutional neural networks based on optimal search theory, IET Image Processing, volume 13, no. 12, pages 2152-2161, DOI:10.1049/iet-ipr.2018.6322. [PDF]
• Fu Z, Angelini F, Chambers J, Naqvi SM. (2019) Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking, IEEE Transactions on Multimedia, volume 21, no. 9, pages 2277-2291, DOI:10.1109/tmm.2019.2902480. [PDF]

2018

• Fu Z, Naqvi SM, Chambers JA. (2018) Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking, 2018 21st International Conference on Information Fusion (FUSION 2018), 10th - 13th Jul 2018, 2018 21st International Conference on Information Fusion (FUSION), DOI:10.23919/icif.2018.8455432. [PDF]
• Angelini F, Fu Z, Velastin SA, Chambers JA, Naqvi SM. (2018) 3D-Hog Embedding Frameworks for Single and Multi-Viewpoints Action Recognition Based on Human Silhouettes, ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15th - 20th Apr 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), DOI:10.1109/icassp.2018.8461472. [PDF]
• Fu Z, Angelini F, Naqvi SM, Chambers JA. (2018) GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching, ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15th - 20th Apr 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), DOI:10.1109/icassp.2018.8461946. [PDF]
• Fu Z, Feng P, Angelini F, Chambers J, Naqvi SM. (2018) Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning, IEEE Access, volume 6, pages 14764-14778, DOI:10.1109/access.2018.2816805. [PDF]
• Angelini F, Fu Z, Long Y, Shao L, Naqvi SM. (2018) ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition. [PDF]

2017

• Fu Z, Naqvi SM, Chambers JA. (2017) Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking, 2017 SENSOR SIGNAL PROCESSING FOR DEFENCE CONFERENCE (SSPD), pages 213-217. [PDF]
• Fu Z, Naqvi SM, Chambers J. (2017) Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking, 2017 Sensor Signal Processing for Defence Conference (SSPD), 6th - 7th Dec 2017, 2017 Sensor Signal Processing for Defence Conference (SSPD), DOI:10.1109/sspd.2017.8233230. [PDF]
• Fu Z, Feng P, Naqvi SM, Chambers JA. (2017) Particle PHD filter based multi-target tracking using discriminative group-structured dictionary learning, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5th - 9th Mar 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), DOI:10.1109/icassp.2017.7952983. [PDF]

2016

• Fu Z, Feng P, Mohsen Naqvi S, Chambers JA. (2016) Robust particle PHD filter with sparse representation for multi-target tracking, 2016 IEEE International Conference on Digital Signal Processing (DSP), 16th - 18th Oct 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP), DOI:10.1109/icdsp.2016.7868562. [PDF]

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