Publications
For a full list of my publications, please refer to my Google Scholar profile.
Selected Publications
Z. Zhao, X. Zhang*, Y. Demiris. 3PFS: Protecting pedestrian privacy through face swapping, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 11, pp. 16845-16854, 2024.
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. (ESI Highly Cited Paper)
X. Zhang*, P. Angeloudis, Y. Demiris. Dual-branch Spatio-Temporal Graph Neural Networks for Pedestrian Trajectory Prediction, Pattern Recognition, vol. 142, 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. [Link] (ESI Highly Cited Paper)
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) [Benchmark link]
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.) [Benchmark link]
*indicates corresponding author
Book
G. Xiao, D.P. Bavirisetti , G. Liu , X. Zhang, Image Fusion, Springer Nature Singapore and Shanghai Jiao Tong University Press, 2020. This book has won the National Science and Technology Academic Publications Fund of China (2019).
Preprints
[P2] X. Zhang*, Y. Demiris. Self-Supervised RGB-T Tracking with Cross-Input Consistency. arXiv preprint arXiv:2301.11274 (2023).
[P1] X. Zhang. “Multi-focus image fusion: A benchmark.” arXiv preprint arXiv:2005.01116 (2020). (The first multi-focus image fusion benchmark in the community)