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

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, being responsible for admissions and student affairs, from 2008 to 2012, and as the programme director of the BEng(CompSci) programme from 2008 to 2015.

Dr. Wong served as the vice-chairperson of ACM-HK from 2003 to 2005, and chaired the ACM Collegiate Programming Contest (Hong Kong) in 2003 and 2005. He has served as referee for various international conferences and journals, including ICCV, ECCV, ACCV, ICIP, PAMI, IJCV, IVC, etc.

Dr. Wong's research interests are in image processing, computer vision and computer graphics, including image segmentation and feature extraction, camera calibration, structure and motion from image sequence, and 3D model representation.

Research Interests

Camera calibration, 3D model reconstruction, motion estimation, motion tracking, image segmentation, digital video surveillance, face recognition, medical imaging, and more...

Selected Publications

  • G. Chen, K. Han and K.-Y. K. Wong. PS-FCN: A Flexible Learning Framework for Photometric Stereo. In Proc. European Conference on Computer Vision (ECCV2018), Munich, Germany, September 2018.
  • G. Chen, K. Han and K.-Y. K. Wong. TOM-Net: Learning Transparent Object Matting from a Single Image. In Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, USA, June 2018.
  • K. Han, K.-Y. K. Wong and M. Liu. Dense Reconstruction of Transparent Objects by Altering Incident Light Paths Through Refraction. International Journal of Computer Vision (IJCV), 126(5):460-475, May 2018.
  • K. Han, R. S. Rezende, B. Ham, K.-Y. K. Wong, M. Cho, S Schmid and J. Ponce. SCNet: Learning Semantic Correspondence. In Proc. International Conference on Computer Vision (ICCV2017), pages 1849-1858, Venice, Italy, October 2017.
  • K. Han, K.-Y. K. Wong, D. Schnieders and M. Liu. Mirror Surface Reconstruction under an Uncalibrated Camera. In Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2016), pages 1772-1780, Las Vegas, USA, June 2016.
  • more...