Thesis

  1. Semantic Structure Discovery in Surveillance Videos
    X. Zhu
    Ph.D. Thesis, Queen Mary University of London, 2015
    [ PDF ] [ The Sullivan Doctoral Thesis Prize Winner, BMVA, 2016 ]

Journal

  1. Learning hybrid ranking representation for person re-identification
    Guile Wu, Xiatian Zhu, Shaogang Gong
    Patern Recognition, Vol. 121, 108239, January 2022 (PR)
    [ PDF ]
  2. Global Aggregation then Local Distribution for Scene Parsing
    Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang
    IEEE Transactions on Image Processing, accepted, 2021 (TIP)
    [ PDF ]
  3. Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
    Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
    IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2021 (TPAMI)
    [ PDF ]
  4. Joint Bilateral-resolution Identity Modeling for Cross-resolution Person Re-identification
    Wei-Shi Zheng, Jincheng Hong, Jiening Jiao, Ancong Wu, Xiatian Zhu, Shaogang Gong, Jiayin Qin, Jian-Huang Lai
    International Journal of Computer Vision, accepted, 2021 (IJCV)
    [ PDF ]
  5. Intra-Camera Supervised Person Re-Identification
    Xiangping Zhu, Xiatian Zhu, Minxian Li, Pietro Morerio, Vittorio Murino, Shaogang Gong
    International Journal of Computer Vision, Vol. 129, pp. 1580-1595, February 2021 (IJCV)
    [ PDF ]
  6. Hierarchical Distillation Learning for Scalable Person Search
    Wei Li, Shaogang Gong, Xiatian Zhu
    Patern Recognition, Vol. 114, 107862, February 2021 (PR)
    [ PDF ]
  7. Multi-Perspective Cross-Class Domain Adaptation for Open Logo Detection
    Hang Su, Shaogang Gong, and Xiatian Zhu
    Computer Vision and Image Understanding, Vol. 204, 103156, March 2021 (CVIU)
    [ PDF ]
  8. 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 ]
  9. Unsupervised Tracklet Person Re-Identification
    M. Li, X. Zhu and S. Gong
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 7, pp. 1770-1782, July 2020 (PAMI)
    [ PDF ]
  10. 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 ]
  11. Scalable Logo Detection by Self Co-Learning
    H. Su, S. Gong and X. Zhu
    Patern Recognition, Vol. 97, 107003, January 2020 (PR)
    [ PDF ]
  12. Efficient Human Pose Estimation in Hierarchical Context
    F. Zhang, X. Zhu and M. Ye
    IEEE Access, Vol. 7, No. 1, pp. 29365-29373, December 2019
    [ PDF ]
  13. Imbalanced Deep Learning by Minority Class Incremental Rectification
    Q. Dong, S. Gong and X. Zhu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 41, No. 6, pp. 1367-1381, June 2019 (PAMI)
    [ PDF ]
  14. Person Re-Identification in Identity Regression Space
    H. Wang, X. Zhu, S. Gong and T. Xiang
    International Journal of Computer Vision, Vol. 126, No. 12, pp. 1288-1310, December 2018 (IJCV)
    [ PDF ]
  15. 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 ]
  16. 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 ]
  17. Discovering Visual Concept Structure with Sparse and Incomplete Tags
    J. Wang, X. Zhu and S. Gong
    Artificial Intelligence, Vol. 250, pp. 16-36, September 2017 (AI)
    [ PDF ]
  18. Person Re-Identification by Unsupervised Video Matching
    X. Ma, X. Zhu, S. Gong, X. Xie, J. Hu, K-M. Lam and Y. Zhong
    Pattern Recognition, Vol. 65, pp. 197-210, May 2017 (PR)
    [ PDF ]
  19. Person Re-Identification by Discriminative Selection in Video Ranking
    T. Wang, S. Gong, X. Zhu and S. Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 12, pp. 2501-2514, December 2016 (PAMI)
    [ PDF ] [ Project Page ] [ iLIDS-VID Dataset ]
  20. Constrained Clustering with Imperfect Oracles
    X. Zhu, C.C. Loy and S. Gong
    IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 6, pp. 1345-1357, June 2016 (TNNLS)
    [ PDF ] [ Project Page ]
  21. Learning from Multiple Sources for Video Summarisation
    X. Zhu, C.C. Loy and S. Gong
    International Journal of Computer Vision, Vol. 117, No. 3, pp. 247-268, May 2016 (IJCV)
    [ PDF ] [ Project Page ]

Conference

  1. SOFT: Softmax-free Transformer with Linear Complexity
    Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing Xu, Tao Xiang, Li Zhang
    In Proc. Neural Information Processing System, virtual, December 2021 (NeurIPS, spotlight)
    [ PDF ]
  2. Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization
    Mengmeng Xu, Juan-Manuel Perez-Rua, Xiatian Zhu, Bernard Ghanem, Brais Martinez
    In Proc. Neural Information Processing System, virtual, December 2021 (NeurIPS)
    [ PDF ]
  3. Few-shot Action Recognition with Prototype-centered Attentive Learning
    Xiatian Zhu, Antoine Toisoul, Juan-Manuel Perez-Rua, Li Zhang, Brais Martinez, Tao Xiang
    In Proc. British Machine Vision Conference, virtual, November 2021 (BMVC)
    [ PDF ]
  4. Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention
    Juan-Manuel Perez-Rua, Brais Martinez, Xiatian Zhu, Antoine Toisoul, Victor Escorcia, Tao Xiang
    In Proc. British Machine Vision Conference, virtual, November 2021 (BMVC)
    [ PDF ]
  5. Few-Shot Temporal Action Localization with Query Adaptive Transformer
    Sauradip Nag, Xiatian Zhu, Tao Xiang
    In Proc. British Machine Vision Conference, virtual, November 2021 (BMVC)
    [ PDF ]
  6. Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
    Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
    In Proc. IEEE International Conference on Computer Vision, Virtual, October 2021 (ICCV)
    [ PDF ]
  7. Boundary-sensitive Pretraining for Temporal Localization in Videos
    Mengmeng Xu, Victor Escorcia, Brais Martínez, Juan-Manuel Perez-Rua, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang
    In Proc. IEEE International Conference on Computer Vision, Virtual, October 2021 (ICCV)
    [ PDF ]
  8. Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
    Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip HS Torr, Li Zhang
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Virtual, June 2021 (CVPR)
    [ PDF ] [ Code ] [ Project page ]
  9. 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 ]
  10. 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 ]
  11. 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 ]
  12. 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 ]
  13. 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 ]
  14. 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 ]
  15. 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 ]
  16. 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 ]
  17. 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 ]
  18. 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 ]
  19. Person Search by Text Attribute Query as Zero-Shot Learning
    Q. Dong, S. Gong and X. Zhu
    In Proc. IEEE International Conference on Computer Vision, Seoul, Korea, October 2019 (ICCV)
    [ PDF ] [ Suppl ]
  20. Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
    Y. Chen, X. Zhu and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Seoul, Korea, October 2019 (ICCV)
    [ PDF ] [ Suppl ]
  21. Spatio-Temporal Associative Representation for Video Person Re-Identification
    G. Wu, X. Zhu, S. Gong
    In Proc. British Machine Vision Conference, Cardiff, UK, September 2019 (BMVC)
    [ PDF ]
  22. Person Re-Identification by Ranking Ensemble Representations
    G. Wu, X. Zhu, S. Gong
    In Proc. IEEE International Conference on Image Processing, Taipei, Taiwan, September 2019 (ICIP, Top 10% Papers)
    [ PDF ]
  23. Unsupervised Deep Learning by Neighbourhood Discovery
    J. Huang, Q. Dong, S. Gong and X. Zhu
    In Proc. International Conference on Machine Learning, Long Beach, California, USA, June 2019 (ICML)
    [ PDF ] [ Code ]
  24. Fast Human Pose Estimation
    F. Zhang, X. Zhu and M. Ye
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, California, USA, June 2019 (CVPR)
    [ PDF ] [ Code ]
  25. Single-Label Multi-Class Image Classification by Deep Logistic Regression
    Q. Dong, X. Zhu and S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, USA, January 2019 (AAAI, Oral)
    [ PDF ] [ Code ]
  26. Knowledge Distillation by On-the-Fly Native Ensemble
    X. Lan, X. Zhu and S. Gong
    In Proc. Neural Information Processing Systems, Montreal, Canada, December 2018 (NeurIPS)
    [ PDF ] [ Code ]
  27. Low-Resolution Face Recognition
    Z. Cheng, X. Zhu and S. Gong
    In Proc. Asian Conference on Computer Vision, Perth, Australia, December 2018 (ACCV)
    [ PDF ] [ TinyFace Dataset ]
  28. Self-Referenced Deep Learning
    X. Lan, X. Zhu and S. Gong
    In Proc. Asian Conference on Computer Vision, Perth, Australia, December 2018 (ACCV)
    [ PDF ]
  29. 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)
    [ PDF ] [ VRIC Dataset ]
  30. 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 ]
  31. 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 ]
  32. 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 ] [ Code ]
  33. 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 ] [ Code ]
  34. 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 ] [ Video ]
  35. 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 ]
  36. 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 ]
  37. 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 ]
  38. Class Rectification Hard Mining for Imbalanced Deep Learning
    Q. Dong, S. Gong and X. Zhu
    In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017 (ICCV)
    [ PDF ] [ Poster ]
  39. Attribute Recognition by Joint Recurrent Learning of Context and Correlation
    J. Wang, X. Zhu, S. Gong and W. Li
    In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017 (ICCV)
    [ PDF ] [ Poster ]
  40. Deep Reinforcement Learning Attention Selection for Person Re-Identification
    X. Lan, H. Wang, S. Gong and X. Zhu
    In Proc. British Machine Vision Conference, London, UK, September 2017 (BMVC)
    [ PDF ] [ Poster ]
  41. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
    W. Li, X. Zhu and S. Gong
    In Proc. International Joint Conference on Artificial Intelligence, Melbourne, Austrailia, August 2017 (IJCAI)
    [ PDF ] [ Technical Report ] [ Slides ]
  42. Deep Learning Logo Detection with Data Expansion by Synthesising Context
    H. Su, X. Zhu and S. Gong
    In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017 (WACV)
    [ PDF ] [ Poster ] [ TopLogo-10 Dataset ]
  43. Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
    Q. Dong, S. Gong and X. Zhu
    In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017 (WACV)
    [ PDF ] [ Poster ]
  44. Human-In-The-Loop Person Re-Identification
    H. Wang, S. Gong, X. Zhu and T. Xiang
    In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016 (ECCV)
    [ PDF ] [ Poster ] [ Demo Video ]
  45. Towards Unsupervised Open-Set Person Re-Identification
    H. Wang, X. Zhu, T. Xiang and S. Gong
    In Proc. IEEE International Conference on Image Processing, Phoenix, Arizona, USA, September 2016 (ICIP)
    [ PDF ]
  46. Video Semantic Clustering with Sparse and Incomplete Tags
    J. Wang, X. Zhu and S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA, February 2016 (AAAI)
    [ PDF ]
  47. Person Re-Identification by Video Ranking
    T. Wang, S. Gong, X. Zhu and S. Wang
    In Proc. European Conference on Computer Vision, Zurich, Switzerland, September 2014 (ECCV)
    [ PDF ] [ Project Page ]
  48. Constructing Robust Affinity Graphs for Spectral Clustering
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, June 2014 (CVPR)
    [ PDF ] [ Poster ] [ Project Page (Code) ]
  49. Video Synopsis by Heterogeneous Multi-Source Correlation
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013 (ICCV)
    [ PDF ] [ Poster ] [ Project Page ]
  50. Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE International Conference on Data Mining, Dallas, Texas, USA, December 2013 (ICDM)
    [ PDF ] [ Project Page ]
  51. Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies
    X. Zhu, S. Gong and C.C. Loy
    In Proc. British Machine Vision Conference, Guildford, UK, September 2012 (BMVC)
    [ PDF ] [ Extended Abstract ] [ Poster ] [ Code ]

Workshop

  1. Intra-Camera Supervised Person Re-Identification: A New Benchmark
    X. Zhu, X Zhu, M. Li, V. Murino and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Second International Workshop and Challenge on Real-World Face and Object Recognition from Low-Quality Images and Videos (FOR-LQ), Seoul, Korea, October 2019 (ICCV Workshop)
    [ PDF ]
  2. Person Re-Identification by Deep Learning Multi-Scale Representations
    Y. Chen, X. Zhu and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Workshop on Cross-Domain Human Identification (CHI), Venice, Italy, October 2017 (ICCV Workshop)
    [ PDF ]
  3. WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web
    H. Su, S. Gong and X. Zhu
    In Proc. IEEE International Conference on Computer Vision, Workshop on Web-scale Vision and Social Media, Venice, Italy, October 2017 (ICCV Workshop)
    [ PDF ] [ WebLogo-2M Dataset ]
  4. Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning
    A. Kanacı, X. Zhu and S. Gong
    In Proc. British Machine Vision Conference, Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS), London, UK, September 2017 (BMVC Workshop)
    [ PDF ]

Person Re-Identification

ECCV14

CVPR18

Video Person Re-ID

  1. Person Re-Identification by Unsupervised Video Matching
    X. Ma, X. Zhu, S. Gong, X. Xie, J. Hu, K.-M. Lam and Y. Zhong
    Pattern Recognition, Vol. 65, pp. 197-210, May 2017 (PR)
    [ PDF ]
  2. Person Re-Identification by Discriminative Selection in Video Ranking
    T. Wang, S. Gong, X. Zhu and S. Wang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 38, No. 12, pp. 2501-2514, December 2016 (PAMI)
    [ PDF ] [ Project Page ] [ iLIDS-VID Dataset ]
  3. Person Re-Identification by Video Ranking
    T. Wang, S. Gong, X. Zhu and S. Wang
    In Proc. European Conference on Computer Vision, Zurich, Switzerland, September 2014 (ECCV)
    [ PDF ] [ Project Page ]

Image Person Re-ID

  1. 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 ]
  2. 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 ]
  3. Person Re-Identification by Deep Learning Multi-Scale Representations
    Y. Chen, X. Zhu and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Workshop on Cross-Domain Human Identification (CHI), Venice, Italy, October 2017
    [ PDF ]
  4. Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
    W. Li, X. Zhu and S. Gong
    In Proc. International Joint Conference on Artificial Intelligence, Melbourne, Austrailia, August 2017 (IJCAI)
    [ PDF ] [ Technical Report ] [ Slides ]
  5. Human-In-The-Loop Person Re-Identification
    H. Wang, S. Gong, X. Zhu and T. Xiang
    In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016 (ECCV)
    [ PDF ] [ Poster ] [ Demo Video ]

Fast (Hashing) Person Re-ID

  1. 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 ]

Unsupervised Domain Adaptation Person Re-ID

  1. 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 ]

Low-Resolution Person Re-ID

  1. 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 ]

Human-In-The-Loop Person Re-ID

  1. Person Re-Identification in Identity Regression Space
    H. Wang, X. Zhu, S. Gong and T. Xiang
    International Journal of Computer Vision, Vol. 126, No. 12, pp. 1288-1310, December 2018 (IJCV)
    [ PDF ]
  2. Human-In-The-Loop Person Re-Identification
    H. Wang, S. Gong, X. Zhu and T. Xiang
    In Proc. European Conference on Computer Vision, Amsterdam, The Netherlands, October 2016 (ECCV)
    [ PDF ] [ Poster ] [ Demo Video ]

Re-Inforcement Learning Person Re-ID

  1. Deep Reinforcement Learning Attention Selection for Person Re-Identification
    X. Lan, H. Wang, S. Gong and X. Zhu
    In Proc. British Machine Vision Conference, London, UK, September 2017 (BMVC)
    [ PDF ] [ Poster ]

Scene Image Person Re-ID (Person Search)

  1. 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 ]

Attribute Recognition

WACV17

  1. 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 ]
  2. Class Rectification Hard Mining for Imbalanced Deep Learning
    Q. Dong, S. Gong and X. Zhu
    In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017 (ICCV)
    [ PDF ] [ Poster ]
  3. Attribute Recognition by Joint Recurrent Learning of Context and Correlation
    J. Wang, X. Zhu, S. Gong and W. Li
    In Proc. IEEE International Conference on Computer Vision, Venice, Italy, October 2017 (ICCV)
    [ PDF ] [ Poster ]
  4. Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
    Q. Dong, S. Gong and X. Zhu
    In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017 (WACV)
    [ PDF ] [ Poster ]

Logo Detection

WACV17

  1. 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) ]
  2. WebLogo-2M: Scalable Logo Detection by Deep Learning from the Web
    H. Su, S. Gong and X. Zhu
    In Proc. IEEE International Conference on Computer Vision, Workshop on Web-scale Vision and Social Media, Venice, Italy, October 2017
    [ PDF ] [ WebLogo-2M Dataset ]
  3. Deep Learning Logo Detection with Data Expansion by Synthesising Context
    H. Su, X. Zhu and S. Gong
    In Proc. IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, California, USA, March 2017 (WACV)
    [ PDF ] [ Poster ] [ TopLogo-10 Dataset ]

Video Summarisation and Clustering

ICCV2013

AAAI16

Video Summarisation

  1. Learning from Multiple Sources for Video Summarisation
    X. Zhu, C.C. Loy and S. Gong
    International Journal of Computer Vision, Vol. 117, No. 3, pp. 247-268, May 2016 (IJCV)
    [ PDF ] [ Project Page ]
  2. Video Synopsis by Heterogeneous Multi-Source Correlation
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE International Conference on Computer Vision, Sydney, Australia, December 2013 (ICCV)
    [ PDF ] [ Poster ] [ Project Page ]

Video Clustering

  1. Discovering Visual Concept Structure with Sparse and Incomplete Tags
    J. Wang, X. Zhu and S. Gong
    Artificial Intelligence, Vol. 250, pp. 16-36, September 2017 (AI)
    [ PDF ]
  2. Video Semantic Clustering with Sparse and Incomplete Tags
    J. Wang, X. Zhu and S. Gong
    In Proc. AAAI Conference on Artificial Intelligence, Phoenix, Arizona, USA, February 2016 (AAAI)
    [ PDF ]
  3. Constructing Robust Affinity Graphs for Spectral Clustering
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, June 2014 (CVPR)
    [ PDF ] [ Poster ] [ Project Page (Code) ]
  4. Constrained Clustering: Effective Constraint Propagation with Imperfect Oracles
    X. Zhu, C.C. Loy and S. Gong
    In Proc. IEEE International Conference on Data Mining, Dallas, Texas, USA, December 2013 (ICDM)
    [ PDF ] [ Project Page ]

2017