Journal papers

[J15] 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.

[J14] X. Zhang*, P. Angeloudis, Y. Demiris. Dual-branch Spatio-Temporal Graph Neural Networks for Pedestrian Trajectory Prediction, Pattern Recognition, vol. 142, 2023.

[J13] 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.

[J12] X. Zhang*, Y. Feng, P. Angeloudis, Y. Demiris. Monocular Visual Traffic Surveillance: A Review.  IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 14148 - 14165, 2022.

[J11] 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. [Project]

[J10] 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) [Code]

[J9] J. Liu, P. Ye. X. Zhang*, G. Xiao. Real-time long-term tracking with reliability assessment and object recovery, IET Image Processing, vol. 15, no. 4, pp. 918-935, 2021.

[J8] 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.

[J7] X. Zhang, P. Ye, J. Liu, K. Gong, G. Xiao. Decision-level visible and infrared fusion tracking via  Siamese networks. Journal of Information Fusion (in Chinese), vol. 1, pp. 33-41, 2020.

[J6] X. Zhang, P. Ye, S. Peng, J. Liu, G. Xiao. DSiamMFT: An RGB-T fusion tracking method via dynamic Siamese networks using multi-layer feature fusion, Signal Processing: Image Communication, vol. 84, 2020.

[J5] J. Liu, G. Xiao, X. Zhang*, P. Ye, X. Xiong, S. Peng. Anti-occlusion object tracking based on correlation filter, Signal, Image and Video Processing, vol. 14, no. 4, pp. 753-761, 2020.

[J4] X. Zhang, P. Ye, D. Qiao, J. Zhao, S. Peng, G. Xiao. Power line detection for aircraft safety based on image processing techniques: advances and recommendations, IEEE Aerospace and Electronic Systems Magazine, vol. 34, no. 5, pp. 54-62, 2019.

[J3] X. Zhang, P. Ye, S. Peng, J. Liu, K. Gong, G. Xiao. SiamFT: An RGB-infrared Fusion Tracking Method via Fully Convolutional Siamese Networks, IEEE Access, vol. 7, no. 1, pp. 122122 -122133, 2019.

[J2] J. Zhao, G. Xiao*, X. Zhang*, D. P. Bavirisetti. An improved long-term correlation tracking method with occlusion handling. Chinese Optics Letters, vol. 17, no. 3, pp. 031001-1: 031001-6, 2019.

[J1] J. D. Mueller, X. Zhang, S. Akbarzadeh, Y. Wang. Geometric continuity constraints of automatically derived parametrisations in CAD-based shape optimisation. International Journal of Computational Fluid Dynamics, vol. 33, no. 6-7, pp. 272-288, 2019.

*Indicates corresponding author

Selected conference papers

[C6] 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 in the community) [Paper] [Code] 

[C5] X. Zhang, P. Ye, J. Liu, K. Gong, G. Xiao. Decision-level visible and infrared fusion tracking via Siamese networks. In Proceedings of the 9th Chinese Conference on Information Fusion, 2019. (Best Paper Honourable Mention Award)

[C4] X. Zhang, P. Ye, D. Qiao, J. Zhao, S. Peng, G. Xiao. Object Fusion Tracking Based on Visible and Infrared Images Using Fully Convolutional Siamese Networks. In Proceedings of the 22nd International Conference on Information Fusion, 2019.

[C3] X. Zhang, G. Xiao, K. Gong, J. Zhao, D. P. Bavirisetti. Automatic Power Line Detection for Low Altitude Aircraft Safety Based on Deep Learning. In International Conference on Aerospace System Science and Engineering, pp. 169-183, Springer, Singapore, 2018.

[C2]  X. Zhang*, R. Jesudasan, J. D. Mueller. Adjoint-based Aerodynamic Optimisation of Wing Shape Using Non-Uniform Rational B-splines. In Computational Methods in Applied Sciences, 49(1), pp. 143 - 158, Springer, Cham, 2019. (EUROGEN 2017).

[C1] X. Zhang, Y. Wang, M. Gugala, J. D. Müller. Geometric continuity constraints for adjacent NURBS patches in shape optimisation. In ECCOMAS Congress, 2016.

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) [Project]

Book

[B1] Image Fusion. G. Xiao, D. Bavirisetti, G. Liu, X. Zhang. Springer Nature Singapore and Shanghai Jiao Tong University Press, 2020.   

     This book was awarded the National Science and Technology Academic Publications Fund by the National Science and       Technology Academic Works Publishing Fund Committee of China (2019). 

Patents and Software Copyright

[PA3] G. Xiao, J. Liu. X. Zhang, P. Ye. An anti-occlusion correlation filter-based object tracking method. Chinese Patent. 2023. 

[PA2] G. Xiao, J. Liu. X. Zhang, P. Ye. An anti-occlusion correlation filter-based object tracking method based on an area search strategy. Chinese Patent. 2022. 

[PA1] G. Xiao, J. Zhao, X. Zhang, et al.  An anti-occlusion correlation filter tracking method. Chinese Patent. 2021.

[SC2]  G. Xiao, J. Liu, X. Zhang, P. Ye. A thermal and infrared fusion tracking software. China Software Copyright No. 2020SR0177471.

[SC1] G. Xiao, X. Zhang, J. Zhao, P. Ye, D. Qiao. An object tracking software. China Software Copyright No. 2019SR0415431.