Xiatian Zhu

    Xiatian Zhu

Xiatian Zhu is a Computer Vision Researcher at Vision Semantics Ltd., Queen Mary University of London, United Kindom. He received his Ph.D. in Computer Vision from the Queen Mary University of London, M.Eng. and B.Eng. in Computer Science from the University of Electronic Science and Technology of China. His research interests include computer vision, pattern recognition and machine (deep) learning.

xiatian.zhu AT qmul.ac.uk
2018
  1. J. Jiao, W-S. Zheng, A. Wu, X. Zhu, S. Gong. Deep Low-Resolution Person Re-Identification. In Proc. AAAI Conference on Artificial Intelligence, New Orleans, Lousiana, USA, February 2018. (AAAI, Oral)
  2. Y-C. Chen, X. Zhu, W-S. Zheng and J-H. Lai. Person Re-Identification by Camera Correlation Aware Feature Augmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 2, pp. 392-408, February 2018. (TPAMI) [ Project Page ]
2017
  1. X. Zhu, B. Wu, D. Huang and W-S Zheng. Fast Open-World Person Re-Identification. IEEE Transactions on Image Processing, in press. (TIP)
  2. Q. Dong, S. Gong and X. Zhu. Class Rectification Hard Mining for Imbalanced Deep Learning. In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017. (ICCV)
  3. J. Wang, X. Zhu, S. Gong and W. Li. Attribute Recognition by Joint Recurrent Learning of Context and Correlation. In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017. (ICCV)
  4. Y. Chen, X. Zhu and S. Gong. Person Re-Identification by Deep Learning Multi-Scale Representations. In Proc. IEEE International Conference on Computer Vision, Workshop on Cross-Domain Human Identification (CHI), Venice, Italy, October 2017.
  5. H. Su, S. Gong and X. Zhu. WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web. In Proc. IEEE International Conference on Computer Vision, Workshop on Web-scale Vision and Social Media, Venice, Italy, October 2017.
  6. J. Wang, X. Zhu and S. Gong. Discovering Visual Concept Structure with Sparse and Incomplete Tags. Artificial Intelligence, Vol. 250, pp. 16-36, September 2017. (AI)
  7. X. Lan, H. Wang, S. Gong and X. Zhu. Deep Reinforacement Learning Attention Selection for Person Re-Identification. In Proc. British Machine Vision Conference, London, UK, September 2017. (BMVC)
  8. A. Kanacı, X. Zhu and S. Gong. Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning. In Proc. British Machine Vision Conference, Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS), London, UK, September 2017.
  9. W. Li, X. Zhu and S. Gong. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification. In Proc. International Joint Conference on Artificial Intelligence, Melbourne, Austrailia, August 2017. (IJCAI)
  10. X. Ma, X. Zhu, S. Gong, X. Xie, J. Hu, K-M. Lam and Y. Zhong. Person Re-Identification by Unsupervised Video Matching. Pattern Recognition, Vol. 65, pp. 197-210, May 2017. (PR)
  11. Q. Dong, S. Gong and X. Zhu. Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes. In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017. (WACV)
  12. H. Su, X. Zhu and S. Gong. Deep Learning Logo Detection with Data Expansion by Synthesising Context. In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017. (WACV)

Education

  1. Ph.D., Queen Mary University of London, 2015
    Thesis: Semantic Structure Discovery in Surveillance Videos
    Supervisor: Shaogang Gong
    Thesis examiners: Ling Shao and Tae-Kyun Kim
  2. M.Eng., University of Electronic Science and Technology of China, 2009
    Supervisor: Lei Luo
  3. B.Eng., University of Electronic Science and Technology of China, 2006
    Supervisor: Lei Luo

Work Experience

  1. Researcher, Vision Semantics Limited, Queen Mary University of London, UK
    Project:
    • Innovate UK Industrial Challenge Project on Developing and Commercialising Intelligent Video Analytics Solutions for Public Safety (Deep Learning for Smart City)
    • Metropolitan Police Face Recognition Optimisation
    • Multi-Camera Person Re-Identification and Tracking in Open-Space Surveillance
  2. Postdoctoral Researcher, Queen Mary University of London, UK
    Project:
    • SUNNY (Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY)
  3. Postdoctoral Researcher, Sun Yat-sen University, China
    Project:
    • Person Re-Identification in Public Space
  4. Research Consultant, Vision Semantics Limited, Queen Mary University of London, UK
    Project:
    • SmartPrevent (Smart Video-Surveillance System to Detect and Prevent Local Crimes in Urban Areas)
  5. Software Developer, Polyvi Technology Limited, China
    Project:
    • Mobile Widget Operating System Platform

Award

  1. The 2016 Sullivan Doctoral Thesis Prize: An annual award to his Ph.D. thesis entitled Semantic Structure Discovery in Surveillance Videos by the British Machine Vision Association, representing the best doctoral thesis submitted to a UK University in the field of computer or natural vision, selected from the leading vision groups of 40+ top UK Universities.

Reviewer Service

  1. International Journal of Computer Vision
  2. IEEE Transactions on Pattern Analysis and Machine Intelligence
  3. IEEE Transactions on Image Processing
  4. IEEE Transactions on Multimedia
  5. IEEE Transactions on Circuits and Systems for Video Technology
  6. Journal of Machine Learning Research
  7. Pattern Recognition
  8. Computer Vision and Image Understanding
  9. Image and Vision Computing
  10. Neural Networks
  11. Neurocomputing
  12. Signal Processing: Image Communication
  13. Engineering Applications of Artificial Intelligence
  14. British Machine Vision Conference

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