Faculty

Biography

Loy Chen Change is an Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong, and 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. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, from 2010 to 2013.

His research interests include computer vision and deep learning, with focus on face analysis, image processing, and visual surveillance. He has published more than 100 papers in top journals and conferences of computer vision and machine learning. He and his research group pioneer the research in face detection, face alignment, and image super-resolution by deep learning. His journal paper on image super-resolution was selected as the `Most Popular Article' by IEEE Transactions on Pattern Analysis and Machine Intelligence in 2016. It remains as one of the top 10 articles to date. His current h-index is 40. He was selected as the outstanding reviewer of ACCV 2014, BMVC 2017, and CVPR 2017.

He serves as an Associate Editor of the International Journal of Computer Vision (IJCV) and IET Computer Vision Journal. He also serves as the Area Chair of ECCV 2018 and BMVC 2018. He is a senior member of IEEE.

Recent Selected Publications

• X. Zhan, Z. Liu, P. Luo, X. Tang, C. C. Loy, "Mix-and-Match tuning for self-supervised semantic segmentation," in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018
  [PDF] [Technical Report] [Project Page]
• Y. He, K. Cao, C. Li, C. C. Loy, "Merge or not? Learning to group faces via imitation learning," in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018
  [Technical Report]
• S. Zhu, S. Fidler, R. Urtasun, D. Lin, C. C. Loy, "Be your own Prada: fashion synthesis with structural coherence," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017
  [PDF] [Project Page]
• Y. Li, C. Huang, X. Tang, C. C. Loy, "Learning to disambiguate by asking discriminative questions," in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2017
  [PDF] [Technical Report] [Project Page]
• Y. Zhang, L. Liu, C. Li, C. C. Loy, "Quantifying facial age by posterior of age comparisons," in Proceedings of British Machine Vision Conference (BMVC), 2017
  [PDF] [Technical Report] [Project Page]
• S. Yang, P. Luo, C. C. Loy, X. Tang, "Deep learning Markov Random Field for semantic segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
  [Preprint] [Project Page]
• S. Yang, P. Luo, C. C. Loy, X. Tang, "Faceness-Net: face detection through deep facial part responses," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
  [Preprint]
• Z. Zhang, P. Luo, C. C. Loy, X. Tang, "From facial expression recognition to interpersonal relation prediction," International Journal of Computer Vision (IJCV), 2017
  [Technical Report] [Project Page]
• Y. Deng, C. C. Loy, X. Tang, "Image aesthetic assessment: An experimental survey," IEEE Signal Processing Magazine (SPM), 2017
  [DOI] [Technical Report] [Project Page]
• X. Li, Y. Qi, Z. Wang. K. Chen, Z. Liu, J. Shi, P. Luo, X. Tang, C. C. Loy, "Video Object Segmentation with Re-identification," in Workshop of DAVIS Challenge on Video Object Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
  [PDF] [Technical Report] [Project Page]
• 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] [Project Page]
• 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] [Technical Report] [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
  [DOI]
• 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]