Nanyang Associate Professor
Director, MMLab@NTU
Co-Associate Director, S-Lab

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. He serves as an Associate Editor of the International Journal of Computer Vision (IJCV) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). He also serves/served as an Area Chair of CVPR 2021, CVPR 2019, ECCV 2018, BMVC 2020, BMVC 2019 and BMVC 2018. He is a senior member of IEEE.

Chen Change Loy

I am looking for motivated PhD students, postdocs, research associates and project officers who have interests in image processing, computer vision and deep learning. Check the career page.

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
X. Pan, X. Zhan, B. Dai, D. Lin, C. C. Loy, P. Luo
European Conference on Computer Vision, 2020 (ECCV, Oral)
PDF Technical Report Project Page | Codes

TSIT: A Simple and Versatile Framework for Image-to-Image Translation
L. Jiang, C. Zhang, M. Huang, C. Liu, J. Shi, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV, Spotlight)
PDF Technical Report Supplementary Material Project Page | Codes

MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation
K. Wang, Q. Wu, L. Song, Z. Yang, W. Wu, C. Qian, R. He, Y. Qiao, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
PDF Project Page

LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation
T.-W. Hui, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
PDF Technical Report Supplementary Material Project Page | Codes

Knowledge Distillation Meets Self-Supervision
G. Xu, Z. Liu, X. Li, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
PDF Technical Report Supplementary Material Project Page | Codes

MessyTable: Instance Association in Multiple Camera Views
Z. Cai, J. Zhang, D. Ren, C. Yu, H. Zhao, S. Yi, C. K. Yeo, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
PDF Technical Report Supplementary Material Project Page | Codes

Side-Aware Boundary Localization for More Precise Object Detection
J. Wang, W. Zhang, Y. Cao, K. Chen, J. Pang, T. Gong, J. Shi, C. C. Loy, D. Lin
European Conference on Computer Vision, 2020 (ECCV)
PDF Technical Report Supplementary Material

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
C. Li, R. Cong, Y. Piao, Q. Xu, C. C. Loy
European Conference on Computer Vision, 2020 (ECCV)
PDF Technical Report Supplemental Material Project Page | Codes

Self-Supervised Scene De-occlusion
X. Zhan, X. Pan, B. Dai, Z. Liu, D. Lin, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR, Oral)
PDF Technical Report Supplementary Material Project Page | Codes YouTube

TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
Z. Yang, W. Zhu, W. Wu, C. Qian, Q. Zhou, B. Zhou, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page | Codes

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
C. Guo, C. Li, J. Guo, C. C. Loy, J. Hou, S. Kwong, R. Cong
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page | Codes

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
L. Jiang, W. Wu, R. Li, C. Qian, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page

Online Deep Clustering for Unsupervised Representation Learning
X. Zhan, J. Xie, Z. Liu, Y. S. Ong, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Project Page | Codes

Inter-Region Affinity Distillation for Road Marking Segmentation
Y. Hou, Z. Ma, C. Liu, T.-W. Hui, C. C. Loy
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page | Codes

Learning to Cluster Faces via Confidence and Connectivity Estimation
L. Yang, D. Chen, X. Zhan, R. Zhao, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page | Codes

Prime Sample Attention in Object Detection
Y. Cao, K. Chen, C. C. Loy, D. Lin
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material Project Page | Codes

EcoNAS: Finding Proxies for Economical Neural Architecture Search
D. Zhou, X. Zhou, W. Zhang, C. C. Loy, S. Yi, X. Zhang, W. Ouyang
in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2020 (CVPR)
PDF Technical Report Supplementary Material

12/2020: Congratulations to Shangchen Zhou on getting the top 10% outstanding reviewer award from NeurIPS 2020!

12/2020: Congratulations to Wenwei Zhang on winning the best PKL award and second runner-up in the nuScenes Detection Challenge, NeurIPS 2020!

07/2020: Eight papers to appear in ECCV 2020 (1 oral, 1 spotlight and 6 posters).

07/2020: New toolboxes such as MMEditing, MMDetection3D and OpenSelfSup are released under OpenMMLab.

03/2020: Nine papers to appear in CVPR 2020 (1 oral and 8 posters).

11/2019: I will serve on the Editorial Board of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

10/2019: Our MMLab-SelfSup team won all four tracks in the Facebook AI Self-Supervision Challenge.

10/2019: Our MMDet team won the COCO 2019 Object Detection Challenge (without external data). We release the codebase MMDetection at open-mmlab.

10/2019: Our MMFruit team won the Open Images Challenge (object detection).

10/2019: Congratulations to Tak-Wai Hui on getting the outstanding reviewer award from ICCV 2019!

09/2019: Congratulations to Xintao Wang on getting the outstanding reviewer (honorable mention) award from BMVC 2019!

See previous highlights.

01/2020: Our work DeeperForensics-1.0 that takes on DeepFakes is featured in VentureBeat (a, b), TechNode, 量子位, TechNews, and 新智元.

01/2020: Our work Everybody's Talkin': Let Me Talk as You Want on audio-based video portrait editing is reported in Synced, and VentureBeat (a, b).

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, Engadget, 每日头条 and 机器之心 for media coverage. It is a part of Wolfram Neural Net Repository and Jittor.