Teck Khim Ng

According to our database, Teck Khim Ng authored at least 25 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Local Statistics for Generative Image Detection.

Yung Jer Wong, Teck Khim Ng

CoRR, 2023

Deep Co-Training for Cross-Modality Medical Image Segmentation.

Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Mugs: A Multi-Granular Self-Supervised Learning Framework.

Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan

CoRR, 2022

Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition.

Zhijian Zheng, Teck Khim Ng

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Adaptive Modeling Against Adversarial Attacks.

Zhiwen Yan, Teck Khim Ng

CoRR, 2021

SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.

Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation.

Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier.

Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng

Proceedings of the 8th International Conference on Learning Representations, 2020

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 using a Distribution Classifier.

Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang

CoRR, 2019

2018

Rafiki: Machine Learning as an Analytics Service System.

Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, Moaz Reyad

Proc. VLDB Endow., 2018

An Efficient Network for Predicting Time-Varying Distributions.

Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz

CoRR, 2018

PANDA: Facilitating Usable AI Development.

Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou

CoRR, 2018

Rafiki: Machine Learning as an Analytics Service System.

Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi

CoRR, 2018

Distribution Regression Network.

Connie Kou, Hwee Kuan Lee, Teck Khim Ng

CoRR, 2018

2016

Where is that pixel in the oblique-view video?

Yin Li, Teck Khim Ng

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

2012

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

Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012

2011

Dense registration of push broom hyperspectral imageries.

Guo Dong, Teck Khim Ng, Pang Sze Kim, Yap Cheng Lock Adrian

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2006

Rain Removal in Video by Combining Temporal and Chromatic Properties.

Xiaopeng Zhang, Hao Li, Yingyi Qi, Wee Kheng Leow, Teck Khim Ng

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

2003

Pedestrian registration in static images with unconstrained background.

Lixin Fan, Kah Kay Sung, Teck Khim Ng

Pattern Recognit., 2003

Face tracking in video with hybrid of Lucas-Kanade and condensation algorithm.

Chong Luo, Tat-Seng Chua, Teck Khim Ng

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002

The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion.

Bing Wang, Kah Kay Sung, Teck Khim Ng

Proceedings of the Computer Vision, 2002

1999

PALM: Portable Sensor-Augmented Vision System for Large-Scene Modeling.

Teck Khim Ng, Takeo Kanade

Proceedings of the 2nd International Conference on 3D Digital Imaging and Modeling (3DIM '99), 1999