Nanyang Associate Professor
Director, MMLab@NTU

Blk N4-02c-108, Nanyang Avenue
School of Computer Science and Engineering
Nanyang Technological University
Singapore 639798

ccloy at ntu.edu.sg
ccloy at ieee.org

Chen Change Loy is a Nanyang 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. 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 serves as an Associate Editor of the International Journal of Computer Vision. He also serves/served as an Area Chair of CVPR 2019, BMVC 2019, ECCV 2018 and BMVC 2018. He is a senior member of IEEE.

Chen Change Loy
CARAFE: Content-Aware ReAssembly of FEatures
J. Wang, K. Chen, R. Xu, Z. Liu, C. C. Loy, D. Lin
in Proceedings of International Conference on Computer Vision, 2019 (ICCV, Oral)
PDF Technical Report Supplementary Material

Delving Deep into Hybrid Annotations for 3D Human Recovery in the Wild
Y. Rong, Z. Liu, C. Li, K. Cao, C. C. Loy
in Proceedings of International Conference on Computer Vision, 2019 (ICCV)
PDF Project Page

Robust Multi-Modality Multi-Object Tracking
W. Zhang, H. Zhou, S. Sun, Z. Wang, J. Shi, C. C. Loy
in Proceedings of International Conference on Computer Vision, 2019 (ICCV)

Learning Lightweight Lane Detection CNNs by Self Attention Distillation
Y. Hou, Z. Ma, C, Liu, C. C. Loy
in Proceedings of International Conference on Computer Vision, 2019 (ICCV)
PDF Technical Report Supplementary Material Project Page | Codes

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
X. Wang, C. K. Chan, K. Yu, C. Dong, X. Tang, C. C. Loy
in Workshop Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, NTIRE, 2019 (CVPRW, Winning approach of all four tracks in the NTIRE 2019 video restoration and enhancement challenges)
Technical Report Project Page | Codes

Deep Network Interpolation for Continuous Imagery Effect Transition
X. Wang, K. Yu, C. Dong, X. Tang, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Technical Report Project Page

Deep Flow-Guided Video Inpainting
R. Xu, X. Li, B. Zhou, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Technical Report Project Page

TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
W. Wu, K. Cao, C. Li, C. Qian, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Technical Report Supplementary Material Project Page

Dense Intrinsic Appearance Flow for Human Pose Transfer
Y. Li, C. Huang, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Supplementary Material Project Page | Codes

Hybrid Task Cascade for Instance Segmentation
K. Chen, J. Pang, J. Wang, Y. Xiong, X. Li, S. Sun, W. Feng, Z. Liu, J. Shi, W. Ouyang, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR, Winning Entry of COCO 2018 Challenge - Object Detection Task)
PDF Technical Report Project Page | Codes

Region Proposal by Guided Anchoring
J. Wang, K. Chen, S. Yang, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Technical Report Project Page | Codes

Learning to Cluster Faces on an Affinity Graph
L. Yang, X. Zhan, D. Chen, J. Yan, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR, Oral)
PDF Technical Report Project Page | Codes

Learning a Unified Classifier Incrementally via Rebalancing
S. Hou, X. Pan, C. C. Loy, Z. Wang, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Project Page | Codes

Self-Supervised Learning via Conditional Motion Propagation
X. Zhan, X. Pan, Z. Liu, D. Lin, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2019 (CVPR)
PDF Technical Report Project Page | Codes

See full publication list.

08/2019: We organize the second WIDER Face and Person Challenge in conjunction with ICCV 2019. The Challenge Track is now closed. There is still a Paper Track where you can submit your paper to the workshop. The deadline is 28 August 2019.

07/2019: Four papers to appear in ICCV 2019 (1 oral and 3 posters).

06/2019: Congratulations to Xintao Wang and Ke Yu on getting their first outstanding reviewer recognition from CVPR 2019!

05/2019: Our new video restoration method, EDVR, won all four tracks in the NTIRE 2019 video restoration and enhancement challenges.

02/2019: Nine papers to appear in CVPR 2019 (1 oral and 8 posters).

01/2019: Our image super-resolution method ESRGAN has been used to remaster various classic games such as Max Panyne, Return to Castle Wolfenstein, Morrowind, and Final Fantasy 7. See The Verge, Futurism, DSOGaming, PC Gamer, Extreme Tech, 每日头条 and 机器之心 for media coverage.

See previous highlights.

I am looking for motivated postdocs who have interests in image processing, computer vision and deep learning. Please contact me with your CV if interested.

SenseTime-NTU Talent Programme. Scholarships are available for PhD study at NTU. Open to Singapore citizen and permanent resident. Application deadline on 20 September 2019.

Due to a large volume of requests, I am unable to respond to individual enquiries about joining my lab. Please be patient. You will be contacted if you are shortlisted. You are encouraged to submit your application formally online. The admission requirements are listed here. You can find out more information about scholarships here.