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.
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

NeurIPS (Position Paper Track), 2025
BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling

IJCAI, 2025
SelectMOT: Improving Data Association in Multiple Object Tracking via Quality-Aware Bounding Box Selection

IEEE Sensors Jounral, 2025
Brain tumor segmentation using multimodal MRI
DIFA 2025 Workshop, BMVC2025
FusionCounting: Robust visible-infrared image fusion guided by crowd counting via multi-task learning
