Dr. Kenneth K.Y. Wong
BEng CUHK; MPhil, PhD Cambridge

Associate Professor
Dept. of Computer Science
The University of Hong Kong

Tel: (+852) 2857 8443
Fax: (+852) 2559 8447
Office: 323 Chow Yei Ching Bldg, Pokfulam Rd, Hong Kong
Email: kykwong

cs.hku.hk
URL : http://www.cs.hku.hk/~kykwong

[Research] [Publications] [Professional Activities] [Undergrad] [People] [Personal] [Links]

Dr. Wong received the BEng degree in Computer Engineering, with first class honors, from the Chinese University of Hong Kong in 1998. From 1998 to 2001, he studied in United Kingdom at the University of Cambridge, where he was a member of the Speech, Vision and Robotics Group in the Department of Engineering. He received the MPhil and PhD degrees, both in Computer Vision (Information Engineering), from the University of Cambridge in 2000 and 2001, respectively.

Since 2001, he has been with the Department of Computer Science at The University of Hong Kong, where he is now an associate professor. He served as the Associate Head of the Department from 2008 to 2012, and as the Programme Director of the BEng(CompSc) programme from 2008 to 2015. He is the Director of the Computer Vision Laboratory.

Dr. Wong's research interests are in Computer Vision and Machine Intelligence. His research works include camera calibration, shape and motion recovery, face sketch synthesis and recognition, scene text recognition, object retrieval, and medical image understanding. He has published over 120 peer-reviewed journal and conference papers. Many of his works appear in top venues, including CVPR, ECCV, and ICCV (top conferences in computer vision), and TPAMI, IJCV, and TIP (top journals in computer vision). He is currently an Associate Editor of IJCV. He regularly serves in the program committee of all major conferences in computer vision, including CVPR, ECCV, ICCV, BMVC, ICIP, and ACCV. He is also a regular reviewer of TPAMI, IJCV, and TIP.

Selected Publications

(Click here for my full publication list or here for my Google Scholar profile)

	SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction. Y. Cao, K. Han and K.-Y. K. Wong. CVPR 2023 (to appear) [BibTeX] [Paper] [Project] [Code]
	Learning Attention as Disentangler for Compositional Zero-shot Learning. S. Hao, K. Han and K.-Y. K. Wong. CVPR 2023 (to appear) [BibTeX] [Paper] [Project] [Code]
	Deep Face Video Inpainting via UV Mapping. W. Yang, Z. Chen, C. Chen, G. Chen and K.-Y. K. Wong. TIP 2023 (to appear) [BibTeX] [Paper]
	S^3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint. W. Yang, G. Chen, C. Chen, Z. Chen and K.-Y. K. Wong. NeurIPS 2022 [BibTeX] [Paper] [Project] [Code]
	PS-NeRF: Neural Inverse Rendering for Mulit-view Photometric Stereo. W. Yang, G. Chen, C. Chen, Z. Chen and K.-Y. K. Wong. ECCV 2022 [BibTeX] [Paper] [Project] [Code]
	JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction. Y. Cao, G. Chen, K. Han, W. Yang and K.-Y. K. Wong. CVPR 2022 [BibTeX] [Paper] [Project] [Code]
	Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. Z. Yue, Q. Zhao, J. Xie, L. Zhang, D. Meng and K.-Y. K. Wong. CVPR 2022 [BibTeX] [Paper] [Code]
	HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset. G. Chen, C. Chen, S. Guo, Z. Liang, K.-Y. K. Wong and L. Zhang. ICCV 2021 [BibTeX] [Paper] [Project] [Code]
	Progressive semantic-aware style transformation for blind face restoration. C. Chen, X. Li, L. Yang, X. Lin, L. Zhang and K.-Y. K. Wong. CVPR 2021 [BibTeX] [Paper] [Code]
	Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. Z. Chen, J. Mao, J. Wu, K.-Y. K. Wong, J. B. Tenenbaum and C. Gan. ICLR 2021 [BibTeX] [Paper] [Project] [Code]
	Fixed Viewpoint Mirror Surface Reconstruction Under an Uncalibrated Camera. K. Han, M. Liu, D. Schnieders and K.-Y. K. Wong. TIP 2021 [BibTeX] [Paper] [Project] [Code]
	Learning Spatial Attention for Face Super-Resolution. C. Chen, D. Gong, H. Wang, Z. Li and K.-Y. K. Wong. TIP 2020 [BibTeX] [Paper] [Code]
	What is Learned in Deep Uncalibrated Photometric Stereo? G. Chen, W. Michael, B. Shi, K.-Y. K. Wong and Y. Matsushita. ECCV 2020 [BibTeX] [Paper] [Project] [Code]
	Deep Photometric Stereo for Non-Lambertian Surfaces. G. Chen, K. Han, B. Shi, Y. Matsushita and K.-Y. K. Wong. TPAMI 2020 [BibTeX] [Paper] [Project] [Code]
	Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension. Z. Chen, P. Wang, L. Ma, K.-Y. K. Wong and Q. Wu. CVPR 2020 [BibTeX] [Paper] [Code]

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