Sung Ha Kang
Orcid: 0000-0002-0312-6595
According to our database1,
Sung Ha Kang
authored at least 53 papers
between 2001 and 2024.
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Bibliography
2024
2023
J. Math. Imaging Vis., December, 2023
Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT).
J. Comput. Phys., December, 2023
WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming.
J. Comput. Phys., June, 2023
J. Comput. Sci., January, 2023
StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Image Process. Line, 2023
Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT).
CoRR, 2023
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory.
SIAM/ASA J. Uncertain. Quantification, March, 2022
IEEE Trans. Signal Process., 2022
Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation.
SIAM J. Sci. Comput., 2022
J. Vis. Commun. Image Represent., 2022
WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming.
CoRR, 2022
StemP: A fast and deterministic Stem-graph approach for RNA and protein folding prediction.
CoRR, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components.
SIAM J. Imaging Sci., 2021
J. Sci. Comput., 2021
Finding the Skeleton of 2D Shape and Contours: Implementation of Hamilton-Jacobi Skeleton.
Image Process. Line, 2021
Asymptotic Theory of 𝓁<sub>1</sub>-Regularized PDE Identification from a Single Noisy Trajectory.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
SIAM J. Imaging Sci., 2020
2019
SIAM J. Imaging Sci., 2019
Efficient alternating minimization methods for variational edge-weighted colorization models.
Adv. Comput. Math., 2019
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019
2017
SIAM J. Sci. Comput., 2017
2016
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting.
SIAM J. Imaging Sci., 2016
2015
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
2014
Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods.
J. Vis. Commun. Image Represent., 2014
J. Vis. Commun. Image Represent., 2014
2013
A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation.
Int. J. Comput. Math., 2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
2010
IEEE Trans. Image Process., 2010
J. Math. Imaging Vis., 2010
2008
Image Vis. Comput., 2008
2007
Variational Models for Image Colorization via Chromaticity and Brightness Decomposition.
IEEE Trans. Image Process., 2007
SIAM J. Appl. Math., 2007
2006
2003
2002
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002
2001
Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models.
J. Vis. Commun. Image Represent., 2001