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eess.IV2021
Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising
Xiaozhen Xie, Sheng Liu
Low-rankness is important in the hyperspectral image (HSI) denoising tasks. The tensor nuclear norm (TNN), defined based on the tensor singular value decomposition, is a state-of-t…
eess.IV2020★ 68 cited
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Haijin Zeng, Xiaozhen Xie, Jifeng Ning
Hyperspectral image (HSI) denoising aims to restore clean HSI from the noise-contaminated one. Noise contamination can often be caused during data acquisition and conversion. In th…
eess.IV2020★ 314 cited
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu +3
Although deep learning models like CNNs have achieved great success in medical image analysis, the small size of medical datasets remains a major bottleneck in this area. To addres…