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Pai Chet Ng

3 accepted papers

2024

AQF: Assessing the Quality of Hyperspectral Reconstruction with a Learnable Metric

ICASSP 2024accepted

This paper proposes a learnable metric to measure the reconstruction quality of hyperspectral images obtained by computational hyperspectral imaging. Computational hyperspectral imaging aims to obtain low-cost hyperspectral images through consumer camera. While many hyperspectral reconstruction mode…

Cited by 0SourceScholar
2023

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

NeurIPS 2023poster

We introduce Hyper-Skin, a hyperspectral dataset covering wide range of wavelengths from visible (VIS) spectrum (400nm - 700nm) to near-infrared (NIR) spectrum (700nm - 1000nm), uniquely designed to facilitate research on facial skin-spectra reconstruction. By reconstructing skin spectra from RGB im…

2022

Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition

ICASSP 2022accepted

This paper presents a human activity recognition (HAR) system with wearable devices. While various approaches have been suggested for HAR, most of them focus on either 1) the inertial sensors to capture the physical movement or 2) subject-dependent evaluations that are less practical to real world c…

Cited by 0SourceScholar