PALM: Portable Sensor-Augmented Vision System for Large-Scene Modeling. - Teck Khim Ng; Takeo Kanade (3DIM, 1999)

The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion. - Bing Wang; Kah Kay Sung; Teck Khim Ng (ECCV (1), 2002)

Face tracking in video with hybrid of Lucas-Kanade and condensation algorithm. - Chong Luo; Tat-Seng Chua; Teck Khim Ng (ICME, 2003)

Pedestrian registration in static images with unconstrained background. - Lixin Fan; Kah Kay Sung; Teck Khim Ng (Pattern Recognit., 2003)

Rain Removal in Video by Combining Temporal and Chromatic Properties. - Xiaopeng Zhang 001; Hao Li 032; Yingyi Qi; Wee Kheng Leow; Teck Khim Ng (ICME, 2006)

Dense registration of push broom hyperspectral imageries. - Guo Dong; Teck Khim Ng; Pang Sze Kim; Yap Cheng Lock Adrian (WHISPERS, 2011)

A new confidence measure combining Hidden Markov Models and Artificial Neural Networks of phonemes for effective keyword spotting. - Su Jun Leow; Tze Siong Lau; Alvina Goh; Han Meng Peh; Teck Khim Ng; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ISCSLP, 2012)

Where is that pixel in the oblique-view video? - Yin Li; Teck Khim Ng (WACV, 2016)

Distribution Regression Network. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng (CoRR, 2018)

Rafiki: Machine Learning as an Analytics Service System. - Wei Wang 059; Sheng Wang 011; Jinyang Gao; Meihui Zhang 001; Gang Chen 001; Teck Khim Ng; Beng Chin Ooi (CoRR, 2018)

PANDA: Facilitating Usable AI Development. - Jinyang Gao; Wei Wang 059; Meihui Zhang 001; Gang Chen 001; H. V. Jagadish; Guoliang Li 001; Teck Khim Ng; Beng Chin Ooi; Sheng Wang 011; Jingren Zhou 001 (CoRR, 2018)

An Efficient Network for Predicting Time-Varying Distributions. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (CoRR, 2018)

Rafiki: Machine Learning as an Analytics Service System. - Wei Wang 059; Jinyang Gao; Meihui Zhang 001; Sheng Wang 011; Gang Chen 001; Teck Khim Ng; Beng Chin Ooi; Jie Shao 001; Moaz Reyad (Proc. VLDB Endow., 2018)

Enhancing Transformation-based Defenses using a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Teck Khim Ng; Ee-Chien Chang (CoRR, 2019)

A compact network learning model for distribution regression. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng (Neural Networks, 2019)

Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. - Connie Kou; Hwee Kuan Lee; Ee-Chien Chang; Teck Khim Ng (ICLR, 2020)

Theoretical and experimental analysis on the generalizability of distribution regression network. - Connie Khor Li Kou; Hwee Kuan Lee; Teck Khim Ng; Jorge Sanz (Neurocomputing, 2020)

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 015; Kaiyuan Yang 003; Meihui Zhang 001; Ling Ling Chan; Teck Khim Ng; Beng Chin Ooi (MICCAI (2), 2021)

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. - Naili Xing; Sai Ho Yeung; Chenghao Cai; Teck Khim Ng; Wei Wang 059; Kaiyuan Yang 003; Nan Yang; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi (ACM Multimedia, 2021)

Adaptive Modeling Against Adversarial Attacks. - Zhiwen Yan; Teck Khim Ng (CoRR, 2021)

Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition. - Zhijian Zheng; Teck Khim Ng (BMVC, 2022)

Mugs: A Multi-Granular Self-Supervised Learning Framework. - Pan Zhou 002; Yichen Zhou; Chenyang Si; Weihao Yu 001; Teck Khim Ng; Shuicheng Yan (CoRR, 2022)

Deep Co-Training for Cross-Modality Medical Image Segmentation. - Lei Zhu 015; Ling Ling Chan; Teck Khim Ng; Meihui Zhang 001; Beng Chin Ooi (ECAI, 2023)

GCM: Efficient video recognition with glance and combine module. - Yichen Zhou; Ziyuan Huang; Xulei Yang; Marcelo H. Ang; Teck Khim Ng (Pattern Recognit., 2023)

Kernel Representation for Dynamic Networks. - Yichen Zhou; Teck Khim Ng (BMVC, 2024)

Efficient Cascaded Multiscale Adaptive Network for Image Restoration. - Yichen Zhou; Pan Zhou 002; Teck Khim Ng (ECCV (19), 2024)

Local Statistics for Generative Image Detection. - Yung Jer Wong; Teck Khim Ng (ICASSP, 2025)