Xiatian Zhu

    Xiatian Zhu

Xiatian Zhu is a Computer Vision Researcher in the Vision Semantics Limited, London, UK. He received his Ph.D. (2015) 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
  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) DOI
  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) Technical Report DOI
  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) Technical Report
  10. 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. PP, No.99, pp. 1-14, February 2017. (TPAMI) Project Page DOI
  11. 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) Technical Report DOI
  12. 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) Poster Technical Report
  13. 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) Poster Technical Report TopLogo 10 Dataset

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, UK (Jul 2017-Present)
    Project:
    • Metropolitan Police Face Recognition Optimisation
  2. Postdoctoral Researcher, Queen Mary University of London, UK (May 2016-Jun 2017)
    Project:
    • SUNNY (Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY)
  3. Research Consultant, Vision Semantics Limited, UK (Jan 2014-Jun 2017)
    Projects:
    • SmartPrevent (Smart Video-Surveillance System to Detect and Prevent Local Crimes in Urban Areas)
    • Multi-Camera Person Re-Identification and Tracking
  4. Postdoctoral Researcher, Sun Yat-sen University, China (Dec 2015-May 2016)
    Project:
    • Person Re-Identification in Public Space
  5. Software Developer, Polyvi Technology Limited, China (Jul 2009-May 2010)
    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. IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. IEEE Transactions on Image Processing
  3. IEEE Transactions on Circuits and Systems for Video Technology
  4. Journal of Machine Learning Research
  5. International Journal of Computer Vision
  6. Pattern Recognition
  7. Computer Vision and Image Understanding
  8. Image and Vision Computing
  9. Neural Networks
  10. Neurocomputing
  11. Signal Processing: Image Communication
  12. Engineering Applications of Artificial Intelligence
  13. IET Computer Vision
  14. British Machine Vision Conference

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