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
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.

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

05/2019: We organize the second WIDER Face and Person Challenge in conjunction with ICCV 2019. There are four exciting tracks with great prizes. Deadline of challenge: July 25, 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.

02/2019: I am looking for motivated postdocs who have interests in image processing, computer vision and deep learning. Candidates with strong system building capability are also very welcome to apply. Please contact me with your CV if interested.

01/2019: SenseTime-NTU Talent Programme. Scholarships are available for PhD study at NTU. Open to Singapore citizen and permanent resident. Application deadline on 8 March 2019.

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.

11/2018: Two papers to appear in AAAI 2019 (1 oral and 1 spotlight).

10/2018: I will serve as the area chair of CVPR 2019.

See previous highlights.