Fusion of LSB and DWT Biometric Watermarking Using Offline Handwritten Signature for Copyright Protection. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Tee Connie (ICB, 2009)

Tensor kernel supervised dictionary learning for face recognition. - Yeong Khang Lee; Cheng-Yaw Low; Andrew Beng Jin Teoh (APSIPA, 2015)

Learning compact discriminant local face descriptor with VLAD. - Cheng-Yaw Low (APSIPA, 2015)

Multi-fold Gabor filter convolution descriptor for face recognition. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Cong Jie Ng (ICASSP, 2016)

DCT based region log-tiedrank covariance matrices for face recognition. - Cong Jie Ng; Andrew Beng Jin Teoh; Cheng-Yaw Low (ICASSP, 2016)

Stacking-based deep neural network: Deep analytic network on convolutional spectral histogram features. - Cheng-Yaw Low; Andrew Beng Jin Teoh (ICIP, 2017)

Stacking PCANet +: An Overly Simplified ConvNets Baseline for Face Recognition. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Kar-Ann Toh (IEEE Signal Process. Lett., 2017)

Orthogonal filter banks with region Log-TiedRank covariance matrices for face recognition. - Cong Jie Ng; Cheng-Yaw Low; Kar-Ann Toh; Jaihie Kim; Andrew Beng Jin Teoh (J. Vis. Commun. Image Represent., 2018)

Enhanced independent spectral histogram representations in face recognition. - Ying-Han Pang; Andrew Beng Jin Teoh; Shih Yin Ooi; Cheng-Yaw Low (Multim. Tools Appl., 2018)

Kernel Deep Regression Network for Touch-Stroke Dynamics Authentication. - Inho Chang; Cheng-Yaw Low; Seokmin Choi; Andrew Beng Jin Teoh (IEEE Signal Process. Lett., 2018)

Multi-Fold Gabor, PCA, and ICA Filter Convolution Descriptor for Face Recognition. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Cong Jie Ng (IEEE Trans. Circuits Syst. Video Technol., 2019)

SoftmaxOut Transformation-Permutation Network for Facial Template Protection. - Hakyoung Lee; Cheng-Yaw Low; Andrew Beng Jin Teoh (ICPR, 2020)

Periocular in the Wild Embedding Learning with Cross-Modal Consistent Knowledge Distillation. - Yoon Gyo Jung; Jaewoo Park; Cheng-Yaw Low; Leslie Ching Ow Tiong; Andrew Beng Jin Teoh (CoRR, 2020)

Periocular Recognition in the Wild With Generalized Label Smoothing Regularization. - Yoon Gyo Jung; Cheng-Yaw Low; Jaewoo Park; Andrew Beng Jin Teoh (IEEE Signal Process. Lett., 2020)

Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification. - Cheng-Yaw Low; Jaewoo Park; Andrew Beng Jin Teoh (IEEE Trans. Cybern., 2020)

Convolutional neural network with spatial pyramid pooling for hand gesture recognition. - Yong Soon Tan; Kian-Ming Lim; Connie Tee; Chin-Poo Lee; Cheng-Yaw Low (Neural Comput. Appl., 2021)

MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition. - Cheng-Yaw Low; Andrew Beng Jin Teoh; Jaewoo Park (IEEE Signal Process. Lett., 2021)

Conditional Multimodal Biometrics Embedding Learning For Periocular and Face in the Wild. - Tiong-Sik Ng; Cheng-Yaw Low; Jacky Chen Long Chai; Andrew Beng Jin Teoh (ICPR, 2022)

Robust sclera recognition based on a local spherical structure. - Sanghak Lee; Cheng-Yaw Low; Jaihie Kim; Andrew Beng Jin Teoh (Expert Syst. Appl., 2022)

An Implicit Identity-Extended Data Augmentation for Low-Resolution Face Representation Learning. - Cheng-Yaw Low; Andrew Beng Jin Teoh (IEEE Trans. Inf. Forensics Secur., 2022)

Divergent Angular Representation for Open Set Image Recognition. - Jaewoo Park; Cheng-Yaw Low; Andrew Beng Jin Teoh (IEEE Trans. Image Process., 2022)

SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition. - Cheng-Yaw Low; Jacky Chen Long Chai; Jaewoo Park; Kyeongjin Ann; Meeyoung Cha (BMVC, 2023)

Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation. - Jacky Chen Long Chai; Tiong-Sik Ng; Cheng-Yaw Low; Jaewoo Park; Andrew Beng Jin Teoh (CVPR, 2023)

On the Representation Learning of Conditional Biometrics for Flexible Deployment. - Tiong-Sik Ng; Cheng-Yaw Low; Jacky Chen Long Chai; Andrew Beng Jin Teoh (IEEE Access, 2023)

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia; Zhizhou Zhong; Yuge Huang; et al. (CVPR Workshops, 2024)

Periocular embedding learning with consistent knowledge distillation from face. - Yoon Gyo Jung; Jaewoo Park; Cheng-Yaw Low; Jacky Chen Long Chai; Leslie Ching Ow Tiong; Andrew Beng Jin Teoh (Neurocomputing, 2024)

Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation. - Kyeongjin Ahn; SeungEon Lee 001; Sungwon Han 001; Cheng-Yaw Low; Meeyoung Cha (IEEE Trans. Inf. Forensics Secur., 2024)

Self-Attentive Contrastive Learning for Conditioned Periocular and Face Biometrics. - Tiong-Sik Ng; Jacky Chen Long Chai; Cheng-Yaw Low; Andrew Beng Jin Teoh (IEEE Trans. Inf. Forensics Secur., 2024)

Cancellable biometrics based on the index-of-maximum hashing with random sparse binary encoding. - Jihyeon Kim; Jaewoo Park; Cheng-Yaw Low; Andrew Beng Jin Teoh (Multim. Tools Appl., 2024)

Second FRCSyn-onGoing: Winning solutions and post-challenge analysis to improve face recognition with synthetic data. - Ivan DeAndres-Tame; Ruben Tolosana; Pietro Melzi; Rubén Vera-Rodríguez; Minchul Kim; Christian Rathgeb; Xiaoming Liu 002; Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fierrez; Javier Ortega-Garcia; Zhizhou Zhong; et al. (Inf. Fusion, 2025)