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Computer Science

Photo of Dr Xingchen Zhang

Dr Xingchen Zhang

Senior Lecturer in Computer Vision and Artificial Intelligence

 X.Zhang12@exeter.ac.uk

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Overview

Note: Due to the Profiles Transition plan of the University, this webpage will not be updated until 17 September 2024. For the latest information about me and my group, please visit my personal website.

Join my group

If you're interested in joining my group as a PhD student (a PhD studentship is available) or a visiting scholar, or if you wish to apply for postdoctoral fellowships (e.g., MSCA Postdoctoral Fellowships, EPSRC Postdoctoral Fellowships), please email me your CV. For more details, see the 'Join My Group' section below.

Bio

I am a Senior Lecturer in Computer Vision and Artificial Intelligence at the Department of Computer Science, University of Exeter. Before this, I was a Marie Skłodowska-Curie Individual Fellow at the Personal Robotics Laboratory, Department of Electrical and Electronic Engineering, Imperial College London, working with Prof. Yiannis Demiris. Prior to this, I was a Teaching Fellow and Research Associate in the same department at Imperial College London. Additionally, I have worked as the main supervisor of MSc students, Assistant Supervisor and Mentor for Imperial’s Activate Student Mentoring Programme, at Imperial College London.

I am also a Visting Researcher at the Personal Robotics Laboratory, Imperial College London. I am a Fellow of the Higher Education Academy (HEA).

In 2024, I was featured as "Imperial People" by Imperial College London. In 2023, I received the Imperial's EEE Department Award for Citizenship and Community. I was selected as the "Fellow of the Month" by the Postdocs and Fellows Development Centre (PFDC) of Imperial College London in November 2023.  I co-authored a book entitled Image Fusion, which won the National Science and Technology Academic Publications Fund of China (2019). I received the Best Paper Honorable Mention Award of the 9th Chinese Conference on Information Fusion (2019). 

I am a member of the UKRI Talent Peer Review College, where I review the prestigious UKRI Future Leaders Fellowships, EPSRC New Investigator Award, EPSRC Open Fellowship, and EPSRC Standard Research Grant. I am also a reviewer for more than 20 well-known journals (e.g., IEEE TPAMI, IJCV, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TIM, IEEE RAL, Information Fusion) and more than 10 conferences (e.g., CVPR, ECCV, ICCV, AAAI, BMVC, ACCV, ICRA, IROS).

Research interests

My research areas include

  • Computer vision (e.g., object tracking, human pose estimation, human behavior prediction)
  • Deep learning (e.g., multi-modal learning, self-supervised learning, graph-based learning)
  • Image fusion (visible-infrared, multi-focus, multi-exposure)
  • Multimodal perception and applications (e.g., RGB-T tracking, robot perception)
  • Ethical AI

News

[04/2024] I will give a talk on 6th June at an Early Career Researcher Networks (ECRN) event "Future of AI Awards 2024: Collaborate, Debate, Invent" organised by my Exeter colleagues. I will introduce my research and my fellowship experience.

[04/2024] Our tutorial proposal entitled "DIFA: Deep Learning-based Image Fusion and Its Applications" was accepted by the International Conference on Information Fusion (Fusion2024), which will be held in Venice, Italy, on 7th-11th July. I am organizing the tutorial with Dr. Zhixiang Chen from the University of Sheffield, Dr. Shuyan Li from the University of Cambridge, and Prof. Yiannis Demiris from Imperial College London. The tutorial will be on 8th July

[04/2024] I gave a talk at the BMVA One Day Meeting: Trustworthy Multimodal Learning with Foundation Models: Bridging the Gap between AI Research and Real World Applications on 24 April 2024.

[04/2024] I joined the University of Exeter as a Senior Lecturer.

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Publications

No publications found

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Further information

Join My Group

PhD Opportunities

Postdoc Opportunities

Selected Publications

  • X. Zhang*, Y. Demiris. Visible and Infrared Image Fusion using Deep Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 8, pp. 10535-10554, 2023.
  • X. Zhang, Deep Learning-based Multi-focus Image Fusion: A Survey and A Comparative Study, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, No. 9, pp. 4819 – 4838, 2022.
  • X. Zhang*, P. Angeloudis, Y. Demiris. Dual-branch Spatio-Temporal Graph Neural Networks for Pedestrian Trajectory Prediction, Pattern Recognition, vol. 142, 2023.
  • X. Zhang*, P. Angeloudis, Y. Demiris. ST CrossingPose: A Spatial-Temporal Graph Convolutional Network for Skeleton-based Pedestrian Crossing Intention Prediction, IEEE Transactions on Intelligent Transportations, vol. 23, no. 11, pp. 20773-20782, 2022.
  • X. Zhang. Benchmarking and Comparing Multi-exposure Image Fusion Algorithms. Information Fusion, vol. 74, pp. 111-131, 2021. (The first multi-exposure image fusion benchmark)
  • X. Zhang, P. Ye, H. Leung, K. Gong, G. Xiao. Object Fusion Tracking Based on Visible and Infrared  Images: A Comprehensive Review, Information Fusion, vol. 63, pp.166-187, 2020.
  • X. Zhang, P. Ye, G. Xiao. VIFB: A Visible and Infrared Image Fusion Benchmark, In the Proceedings of IEEE/CVF Conference on Computer Vision Workshops, 2020. (The first image fusion benchmark, which has been utilized by researchers from more than 10 countries.)
  • G. Xiao, D. Bavirisetti, G. Liu, X. Zhang. Image Fusion. Springer Nature Singapore and Shanghai Jiao Tong University Press, 2020. (This book was awarded the National Science and Technology Academic Publications of China in 2019.) 

Honors and Awards (Selected)

  • 2023   Department Award for Citizenship and Community, Department of EEE, Imperial College London [Imperial College News]
  • 2023   Fellow of the Month, Postdoc and Fellows Development Centre (PFDC), Imperial College London [Imperial PFDC Newsletter]
  • 2023   Fellow,  The Higher Education Academy
  • 2021   Marie Skłodowska-Curie Individual Fellowship, European Union
  • 2019   National Science and Technology Academic Publication Fund (for the Image Fusion book that I co-authored), awarded by the National Science and Technology Academic Works Publishing Fund Committee of China
  • 2019   Best Paper Honorable Mention Award, The 9th Chinese Conference on Information Fusion 
  • 2011   National Scholarship (top 2% of all students), awarded by the Ministry of Education of China 

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