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.

Email: xiatian.zhu AT qmul.ac.uk
  1. Person Re-Identification in Identity Regression Space
    H. Wang, X. Zhu, S. Gong and T. Xiang
    International Journal of Computer Vision, accepted, 2018 (IJCV)
    [ PDF ]
  2. Imbalanced Deep Learning by Minority Class Incremental Rectification
    Q. Dong, S. Gong and X. Zhu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2018 (PAMI)
    [ PDF ]
  3. Person Re-Identification by Camera Correlation Aware Feature Augmentation
    Y-C. Chen, X. Zhu, W-S. Zheng and J-H. Lai
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 40, No. 2, pp. 392-408, February 2018 (PAMI)
    [ PDF ] [ Project Page ]
  4. Fast Open-World Person Re-Identification
    X. Zhu, B. Wu, D. Huang and W-S. Zheng
    IEEE Transactions on Image Processing, Vol. 27, No. 5, pp. 2286-2300, May 2018 (TIP)
    [ PDF ] [ Project Page ]
  5. Knowledge Distillation by On-the-Fly Native Ensemble
    X. Lan, X. Zhu and S. Gong
    In Proc. Conference on Neural Information Processing Systems, Montreal, Canada, December, 2018 (NIPS)
    [ Technical Report ]
  6. Vehicle Re-Identification in Context
    A. Kanacı, X. Zhu and S. Gong
    In Proc. German Conference on Pattern Recognition, Stuttgart, Germany, October, 2018 (GCPR, Oral)
  7. Unsupervised Person Re-Identification by Deep Learning Tracklet Association
    M. Li, X. Zhu and S. Gong
    In Proc. European Conference on Computer Vision, Munich, Germany, September 2018 (ECCV, Oral)
    [ PDF ]
  8. Person Search by Multi-Scale Matching
    X. Lan, X. Zhu and S. Gong
    In Proc. European Conference on Computer Vision, Munich, Germany, September 2018 (ECCV)
    [ PDF ]
  9. Semi-Supervised Deep Learning with Memory
    Y. Chen, X. Zhu and S. Gong
    In Proc. European Conference on Computer Vision, Munich, Germany, September 2018 (ECCV)
    [ PDF ]
  10. Deep Association Learning for Unsupervised Video Person Re-Identification
    Y. Chen, X. Zhu and S. Gong
    In Proc. British Machine Vision Conference, Newcastle, UK, September 2018 (BMVC)
    [ PDF ]
  11. Open Logo Detection Challenge
    H. Su, X. Zhu and S. Gong
    In Proc. British Machine Vision Conference, Newcastle, UK, September 2018 (BMVC, Spotlight)
    [ PDF ] [ Technical Report ] [ QMUL-OpenLogo Dataset (NEW) ]
  12. Harmonious Attention Network for Person Re-Identification
    W. Li, X. Zhu and S. Gong
    In Proc. IEEE International Conference on Computer Vision and Pattern Recognition, Salt lake City, Utah, USA, June 2018 (CVPR)
    [ PDF ]
  13. Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
    J. Wang, X. Zhu, S. Gong and W. Li
    In Proc. IEEE International Conference on Computer Vision and Pattern Recognition, Salt lake City, Utah, USA, June 2018 (CVPR)
    [ PDF ]
  14. Deep Low-Resolution Person Re-Identification
    J. Jiao, W-S. Zheng, A. Wu, X. Zhu and S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, New Orleans, Lousiana, USA, February 2018 (AAAI, Oral)
    [ PDF ] [ Video ]
  15. Surveillance Face Recognition Challenge
    Z. Cheng, X. Zhu and S. Gong
    Technical Report, 2018
    [ PDF ] [ QMUL-SurvFace Dataset (NEW) ]
  16. Human-In-The-Loop Person Re-Identification
    H. Wang, S. Gong, X. Zhu and T. Xiang
    Technical Report, 2018
    [ PDF ]
  17. Scalable Deep Learning Logo Detection
    H. Su, S. Gong and X. Zhu
    Technical Report, 2018
    [ PDF ]

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:
  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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