Xiatian Zhu

    Xiatian Zhu

Xiatian Zhu is a researcher at Samsung AI Centre, Cambridge, UK, and a Visiting Lecturer at University of Surrey. He received his Ph.D. in Computer Vision from the Queen Mary University of London. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited. His research interests include computer vision and machine learning.

Email: eddy.zhuxt AT gmail.com
Second International Workshop on Target Re-identification and Multi-Target Multi-Camera Tracking,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, June 2019.
  1. Face Re-Identification Challenge: Are Face Recognition Models Good Enough?
    Z. Cheng, X. Zhu, S. Gong
    Pattern Recognition, Vol. 107, 107422, November 2020. (PR)
    [ PDF ]
  2. Unsupervised Tracklet Person Re-Identification
    M. Li, X. Zhu, S. Gong
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 7, pp. 1770-1782, July 2020. (PAMI)
    [ PDF ]
  3. Scalable Person Re-Identification by Harmonious Attention
    W. Li, X. Zhu, S. Gong
    International Journal of Computer Vision, Vol. 128, pp. 1635–1653, June 2020 (IJCV)
    [ PDF ]
  4. Scalable Logo Detection by Self Co-Learning
    H. Su, S. Gong, X. Zhu
    Patern Recognition, Vol. 97, pp. 107003, January, 2020 (PR)
    [ PDF ]
  5. Incremental Few-Shot Object Detection
    J.-M. Perez-Rua, X. Zhu, T. Hospedales, T. Xiang
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (CVPR)
    [ PDF ] [ Code ]
  6. Stochastic Classifiers for Unsupervised Domain Adaptation
    Z. Lu, Y. Yang, X. Zhu, C. Liu, Y.-Z. Song, T. Xiang
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (CVPR)
    [ PDF ]
  7. Distribution-Aware Coordinate Representation for Human Pose Estimation
    F. Zhang, X. Zhu, H. Dai, M. Ye, C. Zhu
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (CVPR)
    [ PDF ] [ Project ] [ Code ]
  8. Inter-Task Association Critic for Cross-Resolution Person Re-Identification
    Z. Cheng, Q. Dong, S. Gong, X. Zhu
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (CVPR, Oral)
    [ PDF ]
  9. Deep Semantic Clustering by Partition Confidence Maximisation
    J. Huang, S. Gong, X. Zhu
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, USA, June 2020. (CVPR)
    [ PDF ] [ Code ]
  10. Characteristic Regularisation for Super-Resolving Face Images
    Z. Cheng, X. Zhu, S. Gong
    In Proc. IEEE Winter Conference on Applications of Computer Vision, Colorado, USA, March 2020 (WACV)
    [ PDF ]
  11. Neural Graph Embedding for Neural Architecture Search
    W. Li, S. Gong, X. Zhu
    In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020 (AAAI)
    [ PDF ]
  12. Unsupervised Deep Learning via Affinity Diffusion
    J. Huang, Q. Dong, S. Gong, X. Zhu
    In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020 (AAAI)
    [ PDF ]
  13. Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification
    G. Wu, X. Zhu, S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020 (AAAI)
    [ PDF ]
  14. Semi-Supervised Learning under Class Distribution Mismatch
    Y. Chen, X. Zhu, W. Li, S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, New York City, USA, February 2020 (AAAI)
    [ PDF ]

Locations of Site Visitors