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Haijin Zeng

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DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

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Nov 19, 2023
Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen

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Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks

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Jul 05, 2023
Kai Feng, Yongqiang Zhao, Seong G. Kong, Haijin Zeng

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Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising

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May 06, 2023
Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips

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MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing

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Mar 23, 2023
Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips

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Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor

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Mar 23, 2023
Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong, Jan Aelterman, Wilfried Philips

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Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising

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Apr 27, 2022
Haijin Zeng, Shaoguang Huang, Yongyong Chen, Hiep Luong, Wilfried Philips

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Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion

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Dec 03, 2020
Haijin Zeng, Sheng Liu, Jifeng Ning

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Enhanced nonconvex low-rank approximation of tensor multi-modes for tensor completion

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Jun 22, 2020
Haijin Zeng, Xiaozhen Xie, Jifeng Ning

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Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation

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May 30, 2020
Haijin Zeng, Xiaozhen Xie, Jifeng Ning

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Enhanced nonconvex low-rank representation for tensor completion

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May 28, 2020
Haijin Zeng, Xiaozhen Xie, Jifeng Ning

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