Fusion Intelligence Laboratory

About the Fusion Intelligence Laboratory

The Fusion Intelligence Laboratory is led by Dr. Xingchen Zhang at the University of Exeter. The lab aims to use machine intelligence and multi-source information fusion to benefit humanity.

People

PhD Students

Ning Wang
Ning Wang
Feier Shi
Feier Shi

Research Topics

  • Multimodal robot perception
  • RGB-Thermal image fusion and tracking
  • Ethical AI and pedestrian privacy
  • Human-centered computer vision

Selected Publications

2025

More effort is needed to protect pedestrian privacy in the era of AI
Privacy

NeurIPS (Position Paper Track), 2025

X. Zhang, Z. Zhao.

BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling
BGM

IJCAI, 2025

Y. Zhao, H. Wen, X. Zhang, M. Luo.

SelectMOT: Improving Data Association in Multiple Object Tracking via Quality-Aware Bounding Box Selection
SelectMOT

IEEE Sensors Jounral, 2025

H. Li, Z. Wang, W. Kong, X. Zhang*.

Brain tumor segmentation using multimodal MRI

DIFA 2025 Workshop, BMVC2025

Q. Li, Z. Zhao, X. Zhang*.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning
MultiTaskVIF

arXiv, 2025

Z. Zhao, A. Howes, X. Zhang*.

SSVIF: Self-Supervised Segmentation-Oriented Visible and Infrared Image Fusion
SSVIF

arXiv, 2025

Z. Zhao, X. Zhang*.

FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning
FusionCounting

arXiv, 2025

H. Li, X. Liu, W. Kong, X. Zhang*.