31 citations · 36 across the 7 of their papers we have counts for
7 papers
Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
Yijun Yan, Jinchang Ren, Barry Harrison +3
Peat, a crucial component in whisky production, imparts distinctive and irreplaceable flavours to the final product. However, the extraction of peat disrupts ancient ecosystems and…
Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment
Xiaoquan Li, Stephan Weiss, Yijun Yan +4
Understanding and identifying musical shape plays an important role in music education and performance assessment. To simplify the otherwise time- and cost-intensive musical shape…
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies
Md Junayed Hasan, Eyad Elyan, Yijun Yan +2
Retrofitting and thermographic survey (TS) companies in Scotland collaborate with social housing providers to tackle fuel poverty. They employ ground-level infrared (IR) camera-bas…
Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging
Yijun Yan, Jinchang Ren, He Sun
Measuring the purity in the metal powder is critical for preserving the quality of additive manufacturing products. Contamination is one of the most headache problems which can be…
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
Tian Li, Xiang Chen, Zhen Dong +4
Domain adaptive text classification is a challenging problem for the large-scale pretrained language models because they often require expensive additional labeled data to adapt to…
Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project
Yijun Yan, Jinchang Ren, Huan Zhao +4
Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, mo…
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…