NG Teck Khim

About Myself

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. I am also interested in sports video analytics, assistive devices for the handicapped, audio processing, and image/audio applications on mobile devices.

I obtained my Ph.D. from Carnegie Mellon University in 1999. My thesis topic was on reconstructing 3D large scenes from 2D images.

My bachelor and master degree education was 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 many years 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

Prior to joining NUS, I was running the Signal Processing Lab, DSO National Laboratories Singapore.

I am currently serving as the Vice Dean (Industry Relations) of NUS School of Computing.

Publications

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

Z. Zheng, TK Ng, "Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition", British Machine Vision Conference Nov 2022

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.

C.K.L. Kou, HK Lee, TK Ng, J Sanz, "Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network", Neurocomputing 401, pp. 257-270, Aug 2020

C.K.L. Kou, H.K. Lee, E.C. Chang, T.K. Ng, "Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier. International Conference on Learning Representations (ICLR)", April 2020.

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.

Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, Moaz Reyad, "Rafiki: Machine Learning as an Analytics Service System," Proceedings of VLDB 12(2): 128-140 (2018)

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.

The course that I am teaching

CS2108

Introduction to Media Computing

It is a course on learning how to do signal processing on audio and visual signals.

BT3017

Feature Engineering for Machine Learning

It is a course on engineering features for audio, image, text and graph data in the context of machine learning.

Teaching Awards

School of Computing Teaching Honour roll AY2017/18
NUS Annual Teaching Excellence Award (ATEA) AY2016/17
School of Computing Teaching Excellence Award (FTEA) AY2016/17
School of Computing Teaching Excellence Award (FTEA) AY2015/16
School of Computing Teaching Excellence Award (FTEA) AY2014/15

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