Cheng-Yaw Low

According to our database, Cheng-Yaw Low authored at least 30 papers between 2009 and 2024.

Collaborative distances:

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

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., June, 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

Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation.

Kyeongjin Ahn, SeungEon Lee, Sungwon Han, Cheng-Yaw Low, Meeyoung Cha

IEEE Trans. Inf. Forensics Secur., 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

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, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti

CoRR, 2024

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, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SlackedFace: Learning a Slacked Margin for Low-Resolution Face Recognition.

Cheng-Yaw Low, Jacky Chen Long Chai, Jaewoo Park, Kyeongjin Ann, Meeyoung Cha

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Divergent Angular Representation for Open Set Image Recognition.

Jaewoo Park, Cheng-Yaw Low, Andrew Beng Jin Teoh

IEEE Trans. Image Process., 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

Robust sclera recognition based on a local spherical structure.

Sanghak Lee, Cheng-Yaw Low, Jaihie Kim, Andrew Beng Jin Teoh

Expert Syst. Appl., 2022

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

Proceedings of the 26th International Conference on Pattern Recognition, 2022

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

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

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

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

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

SoftmaxOut Transformation-Permutation Network for Facial Template Protection.

Hakyoung Lee, Cheng-Yaw Low, Andrew Beng Jin Teoh

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

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

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

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

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

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

Stacking-based deep neural network: Deep analytic network on convolutional spectral histogram features.

Cheng-Yaw Low, Andrew Beng Jin Teoh

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

DCT based region log-tiedrank covariance matrices for face recognition.

Cong Jie Ng, Andrew Beng Jin Teoh, Cheng-Yaw Low

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multi-fold Gabor filter convolution descriptor for face recognition.

Cheng-Yaw Low, Andrew Beng Jin Teoh, Cong Jie Ng

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Learning compact discriminant local face descriptor with VLAD.

Cheng-Yaw Low

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

Tensor kernel supervised dictionary learning for face recognition.

Yeong Khang Lee, Cheng-Yaw Low, Andrew Beng Jin Teoh

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2009

Fusion of LSB and DWT Biometric Watermarking Using Offline Handwritten Signature for Copyright Protection.

Cheng-Yaw Low, Andrew Beng Jin Teoh, Tee Connie

Proceedings of the Advances in Biometrics, Third International Conference, 2009