66 citations · 133 across the 5 of their papers we have counts for
5 papers
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
Jacky Chen Long Chai, Tiong-Sik Ng, Cheng-Yaw Low +2
Very low-resolution face recognition (VLRFR) poses unique challenges, such as tiny regions of interest and poor resolution due to extreme standoff distance or wide viewing angle of…
Periocular Embedding Learning with Consistent Knowledge Distillation from Face
Yoon Gyo Jung, Jaewoo Park, Cheng Yaw Low +3
Periocular biometric, the peripheral area of the ocular, is a collaborative alternative to the face, especially when the face is occluded or masked. However, in practice, sole peri…
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification
Cheng-Yaw Low, Jaewoo Park, Andrew Beng-Jin Teoh
Stacking-based deep neural network (S-DNN) is aggregated with pluralities of basic learning modules, one after another, to synthesize a deep neural network (DNN) alternative for pa…
Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features
Cheng-Yaw Low, Andrew Beng-Jin Teoh
Stacking-based deep neural network (S-DNN), in general, denotes a deep neural network (DNN) resemblance in terms of its very deep, feedforward network architecture. The typical S-D…
Multi-Fold Gabor, PCA and ICA Filter Convolution Descriptor for Face Recognition
Cheng Yaw Low, Andrew Beng Jin Teoh, Cong Jie Ng
This paper devises a new means of filter diversification, dubbed multi-fold filter convolution (M-FFC), for face recognition. On the assumption that M-FFC receives single-scale Gab…