Teck Khim Ng

29 papers A* 2A 6Misc 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 Misc conf
Local Statistics for Generative Image Detection.
ICASSP
Yung Jer Wong, Teck Khim Ng
2024 — conf
Efficient Cascaded Multiscale Adaptive Network for Image Restoration.
ECCV (19)
Yichen Zhou, Pan Zhou, Teck Khim Ng
2024 A conf
Kernel Representation for Dynamic Networks.
BMVC
Yichen Zhou, Teck Khim Ng
2023 A conf
Deep Co-Training for Cross-Modality Medical Image Segmentation.
ECAI
Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi
2023 J jnl
GCM: Efficient video recognition with glance and combine module.
Pattern Recognit.
Yichen Zhou, Ziyuan Huang, XuLei Yang, Marcelo H. Ang, Teck Khim Ng
2023 J jnl
Local Statistics for Generative Image Detection.
CoRR
Yung Jer Wong, Teck Khim Ng
2022 A conf
Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition.
BMVC
Zhijian Zheng, Teck Khim Ng
2022 J jnl
Mugs: A Multi-Granular Self-Supervised Learning Framework.
CoRR
Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan
2021 J jnl
Adaptive Modeling Against Adversarial Attacks.
CoRR
Zhiwen Yan, Teck Khim Ng
2021 A* conf
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.
ACM Multimedia
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
2021 J jnl
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis.
CoRR
Naili Xing, Sai Ho Yeung, Chenghao Cai, Teck Khim Ng, Wei Wang, Kaiyuan Yang, Nan Yang, Meihui Zhang, Gang Chen, Beng Chin Ooi
2021 — conf
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation.
MICCAI (2)
Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, Beng Chin Ooi
2020 A* conf
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier.
ICLR
Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng
2020 J jnl
Theoretical and experimental analysis on the generalizability of distribution regression network.
Neurocomputing
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
2019 J jnl
A compact network learning model for distribution regression.
Neural Networks
Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng
2019 J jnl
Enhancing Transformation-based Defenses using a Distribution Classifier.
CoRR
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang
2018 J jnl
An Efficient Network for Predicting Time-Varying Distributions.
CoRR
Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz
2018 J jnl
Distribution Regression Network.
CoRR
Connie Kou, Hwee Kuan Lee, Teck Khim Ng
2018 J jnl
PANDA: Facilitating Usable AI Development.
CoRR
Jinyang Gao, Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Guoliang Li, Teck Khim Ng, Beng Chin Ooi, Sheng Wang, Jingren Zhou
2018 J jnl
Rafiki: Machine Learning as an Analytics Service System.
CoRR
Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi
2018 J jnl
Rafiki: Machine Learning as an Analytics Service System.
Proc. VLDB Endow.
Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, Moaz Reyad
2016 A conf
Where is that pixel in the oblique-view video?
WACV
Yin Li, Teck Khim Ng
2012 — conf
A new confidence measure combining Hidden Markov Models and Artificial Neural Networks of phonemes for effective keyword spotting.
ISCSLP
Su Jun Leow, Tze Siong Lau, Alvina Goh, Han Meng Peh, Teck Khim Ng, Sabato Marco Siniscalchi, Chin-Hui Lee
2011 — conf
Dense registration of push broom hyperspectral imageries.
WHISPERS
Guo Dong, Teck Khim Ng, Pang Sze Kim, Yap Cheng Lock Adrian
2006 A conf
Rain Removal in Video by Combining Temporal and Chromatic Properties.
ICME
Xiaopeng Zhang, Hao Li, Yingyi Qi, Wee Kheng Leow, Teck Khim Ng
2003 A conf
Face tracking in video with hybrid of Lucas-Kanade and condensation algorithm.
ICME
Chong Luo, Tat-Seng Chua, Teck Khim Ng
2003 J jnl
Pedestrian registration in static images with unconstrained background.
Pattern Recognit.
Lixin Fan, Kah Kay Sung, Teck Khim Ng
2002 — conf
The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion.
ECCV (1)
Bing Wang, Kah Kay Sung, Teck Khim Ng
1999 — conf
PALM: Portable Sensor-Augmented Vision System for Large-Scene Modeling.
3DIM
Teck Khim Ng, Takeo Kanade