Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models. - Tony F. Chan; Sung Ha Kang; Jianhong Shen (J. Vis. Commun. Image Represent., 2001)

Inpainting from Multiple Views. - Sung Ha Kang; Tony F. Chan; Stefano Soatto (3DPVT, 2002)

Euler's Elastica and Curvature-Based Inpainting. - Jianhong Shen; Sung Ha Kang; Tony F. Chan (SIAM J. Appl. Math., 2003)

Video dejittering by bake and shake. - Sung Ha Kang; Jianhong Shen (Image Vis. Comput., 2006)

Error Analysis for Image Inpainting. - Tony F. Chan; Sung Ha Kang (J. Math. Imaging Vis., 2006)

Color image decomposition and restoration. - Jean-François Aujol; Sung Ha Kang (J. Vis. Commun. Image Represent., 2006)

Multiphase Image Segmentation via Modica-Mortola Phase Transition. - Yoon Mo Jung; Sung Ha Kang; Jianhong Shen (SIAM J. Appl. Math., 2007)

Variational Models for Image Colorization via Chromaticity and Brightness Decomposition. - Sung Ha Kang; Riccardo March (IEEE Trans. Image Process., 2007)

Total variation minimizing blind deconvolution with shock filter reference. - James H. Money; Sung Ha Kang (Image Vis. Comput., 2008)

Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces. - Minh Ha Quang; Sung Ha Kang; Triet M. Le (J. Math. Imaging Vis., 2010)

Unsupervised Multiphase Segmentation: A Phase Balancing Model. - Berta Sandberg; Sung Ha Kang; Tony F. Chan (IEEE Trans. Image Process., 2010)

Scale and Edge Detection with Topological Derivatives. - Guozhi Dong; Markus Grasmair; Sung Ha Kang; Otmar Scherzer (SSVM, 2013)

A geodesic-active-contour-based variational model for short-axis cardiac MR image segmentation. - Wei Zhu 003; Sung Ha Kang; George Biros (Int. J. Comput. Math., 2013)

Multiphase image segmentation via equally distanced multiple well potential. - Sung Ha Kang; Riccardo March (J. Vis. Commun. Image Represent., 2014)

Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. - Sung Ha Kang; Behrang Shafei; Gabriele Steidl (J. Vis. Commun. Image Represent., 2014)

Illusory Shapes via Corner Fusion. - Sung Ha Kang; Wei Zhu 003; Jackie (Jianhong) Shen (SIAM J. Imaging Sci., 2014)

Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising. - Maryam Yashtini; Sung Ha Kang (SSVM, 2015)

Path optimization with limited sensing ability. - Sung Ha Kang; Seong Jun Kim; Haomin Zhou 001 (J. Comput. Phys., 2015)

A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting. - Maryam Yashtini; Sung Ha Kang (SIAM J. Imaging Sci., 2016)

Optimal Sensor Positioning; A Probability Perspective Study. - Sung Ha Kang; Seong Jun Kim; Haomin Zhou 001 (SIAM J. Sci. Comput., 2017)

Lattice Metric Space Application to Grain Defect Detection. - Yuchen He 001; Sung Ha Kang (SSVM, 2019)

Efficient alternating minimization methods for variational edge-weighted colorization models. - Maryam Yashtini; Sung Ha Kang; Wei Zhu 003 (Adv. Comput. Math., 2019)

Fast Algorithms for Surface Reconstruction from Point Cloud. - Yuchen He 001; Martin Huska; Sung Ha Kang; Hao Liu 028 (CoRR, 2019)

Lattice Identification and Separation: Theory and Algorithm. - Yuchen He 001; Sung Ha Kang (SIAM J. Imaging Sci., 2019)

Curvature Regularized Surface Reconstruction from Point Cloud. - Yuchen He 001; Sung Ha Kang; Hao Liu 028 (CoRR, 2020)

Robust PDE Identification from Noisy Data. - Yuchen He 001; Sung Ha Kang; Wenjing Liao; Hao Liu 028; Yingjie Liu (CoRR, 2020)

Curvature Regularized Surface Reconstruction from Point Clouds. - Yuchen He 001; Sung Ha Kang; Hao Liu 028 (SIAM J. Imaging Sci., 2020)

Accurate Silhouette Vectorization by Affine Scale-Space. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (ICIP, 2021)

Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (CoRR, 2021)

Finding the Skeleton of 2D Shape and Contours: Implementation of Hamilton-Jacobi Skeleton. - Yuchen He 001; Sung Ha Kang; Luis Álvarez 001 (Image Process. Line, 2021)

IDENT: Identifying Differential Equations with Numerical Time Evolution. - Sung Ha Kang; Wenjing Liao; Yingjie Liu (J. Sci. Comput., 2021)

A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components. - Martin Huska; Sung Ha Kang; Alessandro Lanza; Serena Morigi (SIAM J. Imaging Sci., 2021)

Vectorizing Images of Any Size. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (ICIP, 2022)

StemP: A fast and deterministic Stem-graph approach for RNA and protein folding prediction. - Mengyi Tang; Kumbit Hwang; Sung Ha Kang (CoRR, 2022)

Numerical Identification of Nonlocal Potential in Aggregation. - Yuchen He 001; Sung Ha Kang; Wenjing Liao; Hao Liu 028; Yingjie Liu (CoRR, 2022)

WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming. - Mengyi Tang; Wenjing Liao; Rachel Kuske; Sung Ha Kang (CoRR, 2022)

Silhouette Vectorization by Affine Scale-Space. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (J. Math. Imaging Vis., 2022)

Counting Objects by Diffused Index: Geometry-free and training-free approach. - Mengyi Tang; Maryam Yashtini; Sung Ha Kang (J. Vis. Commun. Image Represent., 2022)

Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. - Yuchen He 001; Sung Ha Kang; Wenjing Liao; Hao Liu 028; Yingjie Liu (SIAM J. Sci. Comput., 2022)

JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend. - Antonio Cicone; Martin Huska; Sung Ha Kang; Serena Morigi (IEEE Trans. Signal Process., 2022)

Asymptotic Theory of ( boldsymbol ell _1 ) -Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (SIAM/ASA J. Uncertain. Quantification, 2022)

Viva: a Variational Image Vectorization Algorithm on Dual-Primal Graph Pairs. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (ICIP, 2023)

Surface Reconstruction from Noisy Point Cloud Using Directional G-norm. - Guangyu Cui; Ho Law; Sung Ha Kang (SSVM, 2023)

Fourier Features for Identifying Differential Equations (FourierIdent). - Mengyi Tang; Hao Liu 028; Wenjing Liao; Sung Ha Kang (CoRR, 2023)

Binary Shape Vectorization by Affine Scale-space. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (Image Process. Line, 2023)

A Two-stage Signal Decomposition into Jump, Oscillation and Trend using ADMM. - Martin Huska; Antonio Cicone; Sung Ha Kang; Serena Morigi (Image Process. Line, 2023)

StemP: A Fast and Deterministic Stem-Graph Approach for RNA Secondary Structure Prediction. - Mengyi Tang; Kumbit Hwang; Sung Ha Kang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A new parallel adaptive clustering and its application to streaming data. - Benjamin McLaughlin; Sung Ha Kang (J. Comput. Sci., 2023)

WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming. - Mengyi Tang; Wenjing Liao; Rachel Kuske; Sung Ha Kang (J. Comput. Phys., 2023)

Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT). - Yuchen He 001; Sung Ha Kang; Wenjing Liao; Hao Liu 028; Yingjie Liu (J. Comput. Phys., 2023)

Topology- and Perception-Aware Image Vectorization. - Yuchen He 001; Sung Ha Kang; Jean-Michel Morel (J. Math. Imaging Vis., 2023)

Texture Edge detection by Patch consensus (TEP). - Guangyu Cui; Sung Ha Kang (CoRR, 2024)

An Approximated L1 Curvature-Based Method for Implicit Surface Reconstruction from Point Cloud. - Ho Law; Sung Ha Kang; Wei Zhu 003 (SSVM (2), 2025)

A Formalization of Image Vectorization by Region Merging. - Roy Y. He; Sung Ha Kang; Jean-Michel Morel (SIAM J. Imaging Sci., 2025)

Image Vectorization with Depth: Convexified Shape Layers with Depth Ordering. - Ho Law; Sung Ha Kang (SIAM J. Imaging Sci., 2025)

Graph-based Semi-supervised and Unsupervised Methods for Local Clustering. - Zhaiming Shen; Sung Ha Kang (CoRR, 2025)

Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting. - Jiahui Cheng; Sung Ha Kang; Haomin Zhou 001; Wenjing Liao (CoRR, 2025)

IDENT Review: Recent Advances in Identification of Differential Equations from Noisy Data. - Roy Y. He; Hao Liu; Wenjing Liao; Sung Ha Kang (CoRR, 2025)