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Haijin Zeng (曾海金) |
[14] Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
H. Zeng, Kai Feng, Jiezhang Cao et al., Arxiv ,
2023.
[13] MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing .
H. Zeng, Kai Feng, Shaoguang Huang et al., Arxiv ,
2023.
[12]
From Model-based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images .
Shaoguang Huang, Hongyan Zhang *, Haijin Zeng , Aleksandra Pizurica, Remote Sensing , 2023.
2023.
[11] Smooth Tensor Qatar Riyal Decomposition for Dynamic MRI Reconstruction .
T. Xu, Y. Chen, H. Zeng et al., IEEE Journal of Biomedical and Health Informatics ( IEEE JBHI),
2023.
[10] Tensor Completion using Bilayer Multi-mode Low-rank Prior and Total Variation .
H. Zeng, S. Huang, Y. Chen et al., IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS),
2023.
[9]
Asymmetry total variation and framelet regularized nonconvex low-rank tensor completion .
Y.Chen, T. Xu, X. Zhao, H. Zeng et al., Signal Processing 206 (2023): 108901.
[8] Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion .
H. Zeng, Jize Xue et al., IEEE Transactions on Multimedia (TMM),
vol. 31, pp. 6356-6368, 2022.
[7] Hyperspectral Image Restoration via Global $L_{1−2}$ Spatial-Spectral Total Variation Regularized Local Low-Rank Tensor Recovery .
H. Zeng, Jifeng Ning et al., IEEE Transactions on Geoscience and Remote Sensing (TGRS),
vol. 14, pp. 4473–4488, 2022.
[6] Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion .
H. Zeng, Yongyong Chen et al., IEEE Transactions on Computational Imaging (TCI),
vol. 13, pp. 1385-1401, 2021. Code
[5] Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation .
H. Zeng, Jifeng Ning et al., Signal Processing (SP),
vol. 177, pp. 161-173, 2021.
[4] Hyperspectral Image Restoration via CNN Denoiser Prior Regularized Low-rank Tensor Recovery .
H. Zeng, Jifeng Ning et al., Computer Vision and Image Understanding (CVIU),
vol. 164, pp. 125-137, 2020.
[3] $L_{1-2}$ Spectral-spatial Total Variation Regularized Hyperspectral Image Denoising.
H. Zeng, Jifeng Ning et al., Acta Photonica Sinica 48, no. 10 (2019): 1010002, ( 光子学报(英文版)).
[2] 基于频率加权张量核范数的高光谱图像复原 [J].
刘盛, 曾海金* , 等. 中国图象图形学报 ,2021,26(08):1910-
1925.
[1]
Hyperspectral Image Restoration via Global Total Variation Regularized Local Nonconvex Low-Rank Matrix Approximation.
H. Zeng, Xie, X., & Ning, J. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 2312-2315). IEEE.