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Journal Articles
- 2023
[j5]Yichen Zhou, Ziyuan Huang
, Xulei Yang, Marcelo H. Ang, Teck Khim Ng:
GCM: Efficient video recognition with glance and combine module. Pattern Recognit. 133: 108970 (2023)- 2020
- [j4]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: 257-270 (2020) - 2019
- [j3]Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng:
A compact network learning model for distribution regression. Neural Networks 110: 199-212 (2019) - 2018
- [j2]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): 128-140 (2018) - 2003
- [j1]Lixin Fan, Kah Kay Sung, Teck Khim Ng:
Pedestrian registration in static images with unconstrained background. Pattern Recognit. 36(4): 1019-1029 (2003)
Conference and Workshop Papers
- 2023
- [c12]Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi:
Deep Co-Training for Cross-Modality Medical Image Segmentation. ECAI 2023: 3140-3147 - 2022
- [c11]Zhijian Zheng, Teck Khim Ng:
Class-Balanced Loss Based on Class Volume for Long-Tailed Object Recognition. BMVC 2022: 896 - 2021
- [c10]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: 394-404 - [c9]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: 1293-1302 - 2020
- [c8]Connie Kou, Hwee Kuan Lee, Ee-Chien Chang, Teck Khim Ng:
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier. ICLR 2020 - 2016
- [c7]Yin Li, Teck Khim Ng:
Where is that pixel in the oblique-view video? WACV 2016: 1-8 - 2012
- [c6]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: 112-116 - 2011
- [c5]Guo Dong, Teck Khim Ng, Pang Sze Kim, Yap Cheng Lock Adrian:
Dense registration of push broom hyperspectral imageries. WHISPERS 2011: 1-4 - 2006
- [c4]Xiaopeng Zhang, Hao Li, Yingyi Qi, Wee Kheng Leow, Teck Khim Ng:
Rain Removal in Video by Combining Temporal and Chromatic Properties. ICME 2006: 461-464 - 2003
- [c3]Chong Luo, Tat-Seng Chua, Teck Khim Ng:
Face tracking in video with hybrid of Lucas-Kanade and condensation algorithm. ICME 2003: 293-296 - 2002
- [c2]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: 205-219 - 1999
- [c1]Teck Khim Ng, Takeo Kanade:
PALM: Portable Sensor-Augmented Vision System for Large-Scene Modeling. 3DIM 1999: 473-482
Informal and Other Publications
- 2023
- [i9]Yung Jer Wong, Teck Khim Ng:
Local Statistics for Generative Image Detection. CoRR abs/2310.16684 (2023) - 2022
- [i8]Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan:
Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR abs/2203.14415 (2022) - 2021
- [i7]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 abs/2108.02572 (2021) - [i6]Zhiwen Yan, Teck Khim Ng:
Adaptive Modeling Against Adversarial Attacks. CoRR abs/2112.12431 (2021) - 2019
- [i5]Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang:
Enhancing Transformation-based Defenses using a Distribution Classifier. CoRR abs/1906.00258 (2019) - 2018
- [i4]Connie Kou, Hwee Kuan Lee, Teck Khim Ng:
Distribution Regression Network. CoRR abs/1804.04775 (2018) - [i3]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 abs/1804.06087 (2018) - [i2]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 abs/1804.09997 (2018) - [i1]Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Jorge Sanz:
An Efficient Network for Predicting Time-Varying Distributions. CoRR abs/1811.01506 (2018)
Coauthor Index
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