Search Results for author: Cheng-Yaw Low

Found 3 papers, 1 papers with code

Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation

no code implementations CVPR 2023 Jacky Chen Long Chai, Tiong-Sik Ng, Cheng-Yaw Low, Jaewoo Park, Andrew Beng Jin Teoh

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 the acquisition devices.

Face Recognition

Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification

1 code implementation17 Nov 2018 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 pattern classification.

Data Augmentation General Classification

Stacking-based Deep Neural Network: Deep Analytic Network on Convolutional Spectral Histogram Features

no code implementations4 Mar 2017 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.

Object Recognition

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