NG Teck Khim
Associate Professor (Practice Track)Vice Dean, Industry Relations
- Ph.D. (Carnegie Mellon University)
- M.Sc. (National University of Singapore)
- B.Eng. (National University of Singapore)
I am an associate professor of practice in the School of Computing, National University of Singapore. My research interest is mainly in geometrical computer vision such as 3D reconstruction from images and other geometry related computer vision topics. I am also interested in Signal Processing. Application wise, I am interested in computer vision related technologies such as Markerless Augmented Reality (AR), sports video analytics and image forensics. I am also interested in audio signal processing. I obtained my Ph.D. from Carnegie Mellon University in 1999. My thesis topic was on reconstructing large 3D scenes from 2D images. My bachelor and master degrees were obtained from National University of Singapore, in 1992 and 1988 respectively. I was with the defence R&D for the Ministry of Defence of Singapore for almost my entire career before joining NUS. I also served a year in Media Development Authority as a Program Director in the Interactive Digital Media R&D Programme Office in 2007 and 2008. Prior to joining NUS, I was running the Signal Processing Lab at DSO National Laboratories Singapore. My lab was doing image processing, computer vision and audio processing research for military applications.
RESEARCH AREAS
Media
- Computer Vision & Pattern Recognition
- Sound & Music Computing
RESEARCH INTERESTS
Geometrical Computer Vision
Augmented/Mixed Reality
Sports Video Analytics
Image Forensics
RESEARCH GROUPS
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Yin Li & Teck Khim Ng,"Where is that Pixel in the Oblique-View Video?"in Proceedings of IEEE Winter Conference on Applications in Computer Vision WACV, Lake Placid, NY, USA, 7-9 March, 2016.
- C. K. L. Kou, H. K. Lee, and T. K. Ng, “A compact network learning model for distribution regression,” Neural Networks, vol. 110, pp. 199–212, Feb 2019.
- Kou, C.K.L., Lee, H.K., Chang, E.C., Ng, T.K., Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier. International Conference on Learning Representations (ICLR), April 2020.
- Kou, C.K.L., HK Lee, TK Ng, J Sanz. Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network. Neurocomputing 401, pp. 257-270, Aug 2020
- Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi, "Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation", International Conference on Medical Image Computing & Computer Assisted Intervention MICCAI 2021, Sep 2021, France.
- Z. Zheng, TK Ng, "Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition", British Machine Vision Conference Nov 2022
- Yichen Zhou, Ziyuan Huang, Xulei Yang, Marcelo Ang, Teck Khim Ng, “GCM: Efficient Video Recognition with Glance and Combine Module.”, Pattern Recognition, Volume 133, January 2023
AWARDS & HONOURS
NUS School of Computing Faculty Teaching Excellence Award AY14/15, AY15/16, AY16/17
NUS School of Computing Teaching Honours Roll AY17/18
NUS Annual Teaching Excellence Award 2016/17
MODULES TAUGHT
BT3017
Feature Engineering for Machine Learning
CS2108
Introduction to Media Computing