Shousheng Luo

According to our database1, Shousheng Luo authored at least 15 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
JIRE-Net: Low-light image enhancement with joint enhancement network of illumination and reflection maps.
Digit. Signal Process., 2025

2022
Convex Object(s) Characterization and Segmentation Using Level Set Function.
J. Math. Imaging Vis., 2022

Coupled block diagonal regularization for multi-view subspace clustering.
Data Min. Knowl. Discov., 2022

Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers.
CoRR, 2022

2020
Image denoising based on the adaptive weighted <i>TV<sup>p</sup></i> regularization.
Signal Process., 2020

XCT image reconstruction by a modified superiorized iteration and theoretical analysis.
Optim. Methods Softw., 2020

Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation.
CoRR, 2020

A level set representation method for N-dimensional convex shape and applications.
CoRR, 2020

Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms.
CoRR, 2020

2019
Convex hull algorithms based on some variational models.
CoRR, 2019

A Variational Convex Hull Algorithm.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

An Iteration Method for X-Ray CT Reconstruction from Variable-Truncation Projection Data.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Low-dose X-ray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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