Teck Khim Ng

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 19

Top Topics

Class Conditional

Polynomial Regression

Theoretical And Experimental Analysis

Supervised Learning

Top Venues

Pattern Recognit.

Proc. VLDB Endow.

Publications

Yung Jer Wong, Teck Khim Ng
Local Statistics for Generative Image Detection. CoRR (2023)
Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi
Deep Co-Training for Cross-Modality Medical Image Segmentation. ECAI (2023)
Yichen Zhou, Ziyuan Huang, Xulei Yang, Marcelo H. Ang, Teck Khim Ng
GCM: Efficient video recognition with glance and combine module. Pattern Recognit. 133 (2023)
Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan
Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR (2022)
Zhijian Zheng, Teck Khim Ng
Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition. BMVC (2022)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. CoRR (2021)
Zhiwen Yan, Teck Khim Ng
Adaptive Modeling Against Adversarial Attacks. CoRR (2021)
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis. ACM Multimedia (2021)
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. MICCAI (2) (2021)
Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. ICLR (2020)
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
Theoretical and experimental analysis on the generalizability of distribution regression network. Neurocomputing 401 (2020)
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng
A compact network learning model for distribution regression. Neural Networks 110 (2019)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang
Enhancing Transformation-based Defenses using a Distribution Classifier. CoRR (2019)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
An Efficient Network for Predicting Time-Varying Distributions. CoRR (2018)
Connie Kou, Hwee Kuan Lee, Teck Khim Ng
Distribution Regression Network. CoRR (2018)
Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou
PANDA: Facilitating Usable AI Development. CoRR (2018)
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. Proc. VLDB Endow. 12 (2) (2018)
Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi
Rafiki: Machine Learning as an Analytics Service System. CoRR (2018)
Yin Li, Teck Khim Ng
Where is that pixel in the oblique-view video? WACV (2016)
Su Jun Leow, Tze Siong Lau, Alvina Goh, Han Meng Peh, Teck Khim Ng, Sabato Marco Siniscalchi, Chin-Hui Lee
A new confidence measure combining Hidden Markov Models and Artificial Neural Networks of phonemes for effective keyword spotting. ISCSLP (2012)
Guo Dong, Teck Khim Ng, Pang Sze Kim, Yap Cheng Lock Adrian
Dense registration of push broom hyperspectral imageries. WHISPERS (2011)
Xiaopeng Zhang, Hao Li, Yingyi Qi, Wee Kheng Leow, Teck Khim Ng
Rain Removal in Video by Combining Temporal and Chromatic Properties. ICME (2006)
Chong Luo, Tat-Seng Chua, Teck Khim Ng
Face tracking in video with hybrid of Lucas-Kanade and condensation algorithm. ICME (2003)
Lixin Fan, Kah Kay Sung, Teck Khim Ng
Pedestrian registration in static images with unconstrained background. Pattern Recognit. 36 (4) (2003)
Bing Wang, Kah Kay Sung, Teck Khim Ng
The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion. ECCV (1) (2002)
Teck Khim Ng, Takeo Kanade
PALM: Portable Sensor-Augmented Vision System for Large-Scene Modeling. 3DIM (1999)