Faculty

Prof. LOY Chen-change 呂 健 勤 教 授

Research Assistant Professor (MIEEE)
Education: B.Eng (Uni. of Sci. Malaysia), Ph.D (London)
Research Area: Computer Vision and Pattern Recognition
Contact
Tel: (852) 3943-5255
Fax: (852) 2603-5032
Address: Rm 717 SHB
Email: ccloy [@] ie.cuhk.edu.hk

Prof. Loy's personal website

Research Interests

  • Computer Vision
  • Pattern Recognition
  • Video Processing

Courses Taught

  • Image and Video Processing

Biography

Chen Change Loy is a Research Assistant Professor in the Chinese University of Hong Kong. He is also a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He received his PhD (2010) in Computer Science from the Queen Mary University of London (Vision Group). From Dec. 2010 – Mar. 2013, he was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited.

His research interests include computer vision and pattern recognition, with focus on face analysis, deep learning, and visual surveillance. He has published more than 70 papers, including over 40 publications in main journals (e.g. TPAMI, IJCV, PR) and top conferences (e.g. ICCV, CVPR, ECCV). His journal paper on image super-resolution was selected as the `Most Popular Article' by IEEE Transactions on Pattern Analysis and Machine Intelligence from March 2016 to August 2016. It remains as one of the top 10 articles to date.

He serves as an Associate Editor of IET Computer Vision Journal and a Guest Editor of the Computer Vision and Image Understanding Special Issue on "Image and Video Understanding in Big Data".

Selected Publications from the lastest three years

  • Y. Deng, C. C. Loy, X. Tang, "Image aesthetic assessment: An experimental survey," IEEE Signal Processing Magazine (SPM), 2017
    [DOI][PDF] [Technical Report]
  • X. Zhang, Z. Li, C. C. Loy, D. Lin, "PolyNet: A pursuit of structural diversity in very deep networks," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [PDF] [Technical Report] [Project Page]
  • X. Li, Z. Liu, P. Luo, C. C. Loy, X. Tang, "Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [PDF] [Technical Report]
  • K. Chen, H. Song, C. C. Loy, D. Lin, "Discover and learn new objects from documentaries," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [PDF][Project Page]
  • C. Huang, C. C. Loy, X. Tang, "Discriminative sparse neighbor approximation for imbalanced learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017
    [PDF] [Technical Report]
  • X. Wang and C. C. Loy, "Deep learning for scene independent crowd analysis," in V. Murino, M. Cristani, S. Shah, S. Savarese (Eds.), Group and Crowd Behavior for Computer Vision, Elsevier, 2017
    [Book Link]
  • C. C. Loy, P. Luo, and C. Huang, "Deep learning face attributes for face detection and alignment," in R. S. Feris, C. Lampert and D. Parikh (Eds.), Visual Attributes, Springer, 2017
    [Book Link]
  • C. Huang, C. C. Loy, X. Tang, "Local similarity-aware deep feature embedding," in Proceedings of Neural Information Processing Systems (NIPS), 2016
    [PDF] [Technical Report]
  • Z. Cheng, X. Li, C. C. Loy, "Pedestrian color naming via convolutional neural network," in Proceedings of Asian Conference on Computer Vision (ACCV), 2016
    [PDF] [Project Page]
  • C. Dong, C. C. Loy, X. Tang, "Accelerating the super-resolution convolutional neural network," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Supplementary Material] [Project Page]
  • Z. Zhang, P. Luo, C. C. Loy, X. Tang, "Joint face representation adaptation and clustering in videos," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Project Page]
  • T.-W. Hui, C. C. Loy, X. Tang, "Depth map super resolution by deep multi-scale guidance," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Project Page]
  • W. Shi, C. C. Loy, X. Tang, "Deep specialized network for illuminant estimation," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Project Page]
  • S. Zhu, S. Liu, C. C. Loy, X. Tang, "Deep cascaded bi-network for face hallucination," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Technical Report][Project Page]
  • Y. Li, C. Huang, C. C. Loy, X. Tang, "Human attribute recognition by deep hierarchical contexts," in Proceedings of European Conference on Computer Vision (ECCV), 2016
    [PDF] [Project Page]
  • S. Yang, P. Luo, C. C. Loy, X. Tang, "WIDER FACE: A face detection benchmark," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF] [Project Page]
  • Q. Yu, F. Liu, Y. Song, T. Xiang, T. M. Hospedales, C. C. Loy, "Sketch me that shoe," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF] [Project Page]
  • C. Huang, Y. Li, C. C. Loy, X. Tang, "Learning deep representation for imbalanced classification," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF][Project Page]
  • J. Shao, C. C. Loy, K. Kang, X. Wang, "Slicing convolutional neural network for crowd video understanding," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF][Project Page]
  • S. Zhu, C. Li, C. C. Loy, X. Tang, "Unconstrained face alignment via cascaded compositional learning," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF][Project Page]
  • C. Huang, C. C. Loy, X. Tang, "Unsupervised learning of discriminative attributes and visual representations," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
    [PDF][Project Page]
  • J. Shao, C. C. Loy, K. Kang, X. Wang, "Crowded scene understanding by deeply learned volumetric slices," IEEE Transactions on Circuits and Systems for Video Technology (TCVST), 2016
  • J. Shao, C. C. Loy, K. Kang, X. Wang, "Learning scene-independent group descriptors for crowd understanding," IEEE Transactions on Circuits and Systems for Video Technology (TCVST), 2016
    [Preprint]
  • W. Ouyang, X. Zeng, X. Wang, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, H. Li, K. Wang, J. Yan, C. C. Loy, and X. Tang, "DeepID-Net: Object detection with deformable deep convolutional neural networks," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
    [DOI]
  • P. He, W. Huang, Y. Qiao, C. C. Loy, X. Tang, "Reading scene text in deep convolutional sequences," in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2016
    [PDF]
  • X. Zhu, C. C. Loy, S. Gong, "Learning from multiple sources for video summarisation," International Journal of Computer Vision (IJCV), vol. 117, no. 3, pp. 247–268, 2015
    [PDF][Project Page]
  • S. Yang, P. Luo, C. C. Loy, X. Tang, "From facial part responses to face detection: A deep learning approach," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2015
    [PDF] [Project Page]
  • Z. Liu, X. Li, P. Luo, C. C. Loy, X. Tang, "Semantic image segmentation via deep parsing network," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2015
    [PDF] [Project Page]
  • C. Dong, Y. Deng, C. C. Loy, X. Tang, "Compression artifacts reduction by a deep convolutional network," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2015
    [PDF] [Project Page]
  • Z. Zhang, P. Luo, C. C. Loy, X. Tang, "Learning social relation traits from face images," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2015
    [PDF] [Project Page]
  • Z. Zhang, P. Luo, C. C. Loy, X. Tang, "Learning deep representation for face alignment with auxiliary attributes," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 5, pp. 918–930, 2015
    [Preprint] [Project Page]
  • C. Dong, C. C. Loy, K. He, and X. Tang, "Image super-resolution using deep convolutional networks," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 38, no. 2, pp. 295-307, 2015
    [DOI] [Preprint] [Supplementary Material] [Project Page]
  • J. Shao, K. Kang, C. C. Loy, X. Wang, "Deeply learned attributes for crowded scene understanding," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    [PDF] [Project Page]
  • S. Zhu, C. Li, C. C. Loy, X. Tang, "Face alignment by coarse-to-fine shape searching," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    [PDF] [Project Page]
  • L. Yang, P. Luo, C. C. Loy, X. Tang, "A large-scale car dataset for fine-grained categorization and verification," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    [PDF] [Technical Report] [Project Page] [Model@Caffe]
  • W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C. C. Loy, and X. Tang, "DeepID-Net: deformable deep convolutional neural networks for object detection," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
    [PDF] [Project Page]
  • X. Zhu, C. C. Loy, and S. Gong, "Constrained Clustering with Imperfect Oracles," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2015
    [DOI] [PDF] [Project Page]
  • S. Yang, P. Luo, C. C. Loy, K. W. Shum, X. Tang, "Deep representation learning with target coding," in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2015
    [PDF] [Supplementary Material] [Project Page]
  • C. Dong, C. C. Loy, K. He, X. Tang, "Learning a deep convolutional network for image super-resolution," in Proceedings of European Conference on Computer Vision (ECCV), 2014
    [PDF] [Supplementary Material] [Technical Report] [Project Page]
  • Z. Zhang, P. Luo, C. C. Loy, X. Tang, "Facial landmark detection by deep multi-task learning," in Proceedings of European Conference on Computer Vision (ECCV), 2014
    [PDF] [Technical Report] [Project Page]
  • J. Shao, C. C. Loy, X. Wang, "Scene-independent group profiling in crowd," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
    [PDF] [Project Page]
  • X. Zhu, C. C. Loy, S. Gong, "Constructing robust affinity graphs for spectral clustering," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
    [PDF] [Project Page]
  • Y. Deng, P. Luo, C. C. Loy, X. Tang, "Pedestrian attribute recognition at far distance," in Proceedings of ACM Multimedia (ACM MM), 2014
    [PDF] [Technical Report] [Project Page]
  • C. Liu, S. Gong, and C. C. Loy, "On-the-fly feature importance mining for person re-identification," Pattern Recognition (PR), 2014
    [PDF] [Project Page]
  • S. Gong, M. Cristani, S. Yan, C. C. Loy (Eds.), "Person re-identification," Springer, January 2014
    [Preface] [Introduction]