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Baoshun Shi
ORCID
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 28
Top Topics
Artifact Reduction
Compressed Sensing
Total Variation
Sparse Representation
Top Venues
Digit. Signal Process.
Signal Process.
IET Image Process.
IEEE Signal Process. Lett.
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Publications
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Baoshun Shi
,
Dan Li
,
Yuxin Wang
,
Yueming Su
,
Qiusheng Lian
Provable deep video denoiser using spatial-temporal information for video snapshot compressive imaging: Algorithm and convergence analysis.
Signal Process.
214 (2024)
Jiale Chen
,
Qiusheng Lian
,
Baoshun Shi
,
Chengli Gao
A Two-Phase Reference-Free Approach for Low-Light Image Enhancement.
Circuits Syst. Signal Process.
43 (6) (2024)
Baoshun Shi
,
Ke Jiang
,
Shaolei Zhang
,
Qiusheng Lian
,
Yanwei Qin
,
Yunsong Zhao
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography.
Mach. Learn. Sci. Technol.
5 (1) (2024)
Yueming Su
,
Qiusheng Lian
,
Dan Zhang
,
Baoshun Shi
Transformer based Douglas-Rachford unrolling network for compressed sensing.
Signal Process. Image Commun.
127 (2024)
Baoshun Shi
,
Chunzi Zhu
,
Lingyan Li
,
Huagui Huang
Cartoon-texture guided network for low-light image enhancement.
Digit. Signal Process.
144 (2024)
Lingyan Li
,
Chunzi Zhu
,
Jiale Chen
,
Baoshun Shi
,
Qiusheng Lian
Self-Supervised Normalizing Flow for Jointing Low-Light Enhancement and Deblurring.
Circuits Syst. Signal Process.
43 (9) (2024)
Baoshun Shi
,
Shaolei Zhang
,
Fu ZhaoRan
Artifact Region-Aware Transformer: Global Context Helps CT Metal Artifact Reduction.
IEEE Signal Process. Lett.
31 (2024)
Baoshun Shi
,
Shaolei Zhang
,
Ke Jiang
,
Qiusheng Lian
Coupling Model- and Data-Driven Networks for CT Metal Artifact Reduction.
IEEE Trans. Computational Imaging
10 (2024)
Qiusheng Lian
,
Yueming Su
,
Baoshun Shi
,
Dan Zhang
LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing.
Signal Process.
202 (2023)
Yueming Su
,
Yongli Yang
,
Baoshun Shi
,
Yuwei Zhang
Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging.
Digit. Signal Process.
140 (2023)
Baoshun Shi
,
Yuxin Wang
,
Dan Li
Provable General Bounded Denoisers for Snapshot Compressive Imaging With Convergence Guarantee.
IEEE Trans. Computational Imaging
9 (2023)
Baoshun Shi
,
Kexun Liu
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging with Convergence Analysis.
IEEE CAA J. Autom. Sinica
10 (11) (2023)
Baoshun Shi
,
Yating Gao
,
Yueming Su
,
Qiusheng Lian
-norm for phase retrieval.
Digit. Signal Process.
136 (2023)
Baoshun Shi
,
Ke Jiang
,
Shaolei Zhang
,
Qiusheng Lian
,
Yanwei Qin
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction.
CoRR
(2022)
Baoshun Shi
,
Yating Gao
,
Ke Jiang
,
Qiusheng Lian
Convolutional Sparse Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network.
ICIP
(2022)
Baoshun Shi
,
Qiusheng Lian
,
Yueming Su
Supervised dual tight frame learning with deep thresholding network for phase retrieval.
IET Image Process.
16 (10) (2022)
Baoshun Shi
,
Yuxin Wang
,
Qiusheng Lian
A Trainable Bounded Denoiser Using Double Tight Frame Network for Snapshot Compressive Imaging.
ICASSP
(2022)
Baoshun Shi
,
Qiusheng Lian
DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval.
IEEE Signal Process. Lett.
29 (2022)
Baoshun Shi
,
Qiusheng Lian
,
Huibin Chang
Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method.
Signal Process.
168 (2020)
Qiusheng Lian
,
Fan Xiaoyu
,
Baoshun Shi
,
Xiaohua Zhang
Compressed sensing MRI based on the hybrid regularization by denoising and the epigraph projection.
Signal Process.
170 (2020)
Baoshun Shi
,
Qiusheng Lian
,
Fan Xiaoyu
PPR: Plug-and-play regularization model for solving nonlinear imaging inverse problems.
Signal Process.
162 (2019)
Yueming Su
,
Qiusheng Lian
,
Xiaohua Zhang
,
Baoshun Shi
,
Fan Xiaoyu
Multi-scale Cross-path Concatenation Residual Network for Poisson denoising.
IET Image Process.
13 (8) (2019)
Baoshun Shi
,
Qiusheng Lian
,
Shuzhen Chen
,
Ye Tian
,
Fan Xiaoyu
Coded diffraction imaging via double sparse regularization model.
Digit. Signal Process.
79 (2018)
Baoshun Shi
,
Shuzhen Chen
,
Ye Tian
,
Fan Xiaoyu
,
Qiusheng Lian
FASPR: A fast sparse phase retrieval algorithm via the epigraph concept.
Digit. Signal Process.
80 (2018)
Baoshun Shi
,
Qiusheng Lian
,
Shuzhen Chen
,
Fan Xiaoyu
SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging.
IEEE Access
6 (2018)
Fan Xiaoyu
,
Qiusheng Lian
,
Baoshun Shi
Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation.
IEEE Access
5 (2017)
Qiusheng Lian
,
Baoshun Shi
,
Shuzhen Chen
Transfer orthogonal sparsifying transform learning for phase retrieval.
Digit. Signal Process.
62 (2017)
Baoshun Shi
,
Qiusheng Lian
,
Shuzhen Chen
Compressed sensing magnetic resonance imaging based on dictionary updating and block-matching and three-dimensional filtering regularisation.
IET Image Process.
10 (1) (2016)
Baoshun Shi
,
Qiusheng Lian
,
Shuzhen Chen
Sparse representation utilizing tight frame for phase retrieval.
EURASIP J. Adv. Signal Process.
2015 (2015)