Chunlin Wu
Orcid: 0000-0003-1932-7997
According to our database1,
Chunlin Wu
authored at least 42 papers
between 2008 and 2024.
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Bibliography
2024
Non-Lipschitz Variational Models and their Iteratively Reweighted Least Squares Algorithms for Image Denoising on Surfaces.
SIAM J. Imaging Sci., 2024
2023
Union label smoothing adversarial training: Recognize small perturbation attacks and reject larger perturbation attacks balanced.
Future Gener. Comput. Syst., November, 2023
A Convergent Iterative Support Shrinking Algorithm for Non-Lipschitz Multi-phase Image Labeling Model.
J. Sci. Comput., August, 2023
2022
A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm.
SIAM J. Imaging Sci., September, 2022
CoRR, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Effective Two-Stage Image Segmentation: A New Non-Lipschitz Decomposition Approach with Convergent Algorithm.
J. Math. Imaging Vis., 2021
Parallel implementation of a VIScous Vorticity Equation (VISVE) method in 3-D laminar flow.
J. Comput. Phys., 2021
On anisotropic non-Lipschitz restoration model: lower bound theory and convergent algorithm.
CoRR, 2021
A fast method for simultaneous reconstruction and segmentation in X-ray CT application.
CoRR, 2021
Frequency Diverse Array Design for Deceptive Jamming Suppression Using Particle Swarm Optimization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
The TV<sub>p</sub> Regularized Mumford-Shah Model for Image Labeling and Segmentation.
IEEE Trans. Image Process., 2020
A Globally Convergent Algorithm for a Constrained Non-Lipschitz Image Restoration Model.
J. Sci. Comput., 2020
Adv. Comput. Math., 2020
2019
SIAM J. Sci. Comput., 2019
SIAM J. Imaging Sci., 2019
A new adaptive boosting total generalized variation (TGV) technique for image denoising and inpainting.
J. Vis. Commun. Image Represent., 2019
An Iterative Support Shrinking Algorithm for Non-Lipschitz Optimization in Image Restoration.
J. Math. Imaging Vis., 2019
On the discontinuity of images recovered by noncovex nonsmooth regularized isotropic models with box constraints.
Adv. Comput. Math., 2019
Adv. Comput. Math., 2019
2018
On the Edge Recovery Property of Noncovex Nonsmooth Regularization in Image Restoration.
SIAM J. Numer. Anal., 2018
A General Selective Averaging Method for Piecewise Constant Signal and Image Processing.
J. Sci. Comput., 2018
Int. J. Online Eng., 2018
2017
A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction.
IEEE Trans. Medical Imaging, 2017
J. Sci. Comput., 2017
2015
Variational Mesh Denoising Using Total Variation and Piecewise Constant Function Space.
IEEE Trans. Vis. Comput. Graph., 2015
The L<sub>0</sub> Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.
IEEE Trans. Image Process., 2015
2014
2013
Signal Process., 2013
Production efficiency evaluation of energy companies based on the improved super-efficiency data envelopment analysis considering undesirable outputs.
Math. Comput. Model., 2013
2012
Augmented Lagrangian Method for Total Variation Based Image Restoration and Segmentation Over Triangulated Surfaces.
J. Sci. Comput., 2012
2011
Fast optimization for multichannel total variation minimization with non-quadratic fidelity.
Signal Process., 2011
2010
IEEE Trans. Vis. Comput. Graph., 2010
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models.
SIAM J. Imaging Sci., 2010
Comput. Graph. Forum, 2010
2009
SIAM J. Imaging Sci., 2009
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009
2008
Diffusion Equations over Arbitrary Triangulated Surfaces for Filtering and Texture Applications.
IEEE Trans. Vis. Comput. Graph., 2008