Submitted
- Mengyi Tang, Wenjing Liao, Rachel Kuske, and Sung Ha Kang, ``WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming", arxiv:2211.03134, submitted 2022
- Martin Huska, Antonio Cicone, Sung Ha Kang, and Serena Morigi, ``A two-stage signal decomposition into Jump, Oscillation and Trend using ADMM", submitted 2022
- Yuchen He, Sung Ha Kang, and Jean-Michel Morel, "Topology and perception aware image vectorization", submitted 2022
- Yaghoub Rahimi, Sung Ha Kang and Yifei Lou, "A lifted l1 framework for sparse recovery", arxiv:2203.05125, submitted
- Mengyi Tang, Kumbit Hwang and Sung Ha Kang, "StemP: A fast and deterministic Stem-graph approach for RNA folding prediction", arXiv:2201.05724, submitted (revision)
- Benjamin McLaughlin and Sung Ha Kang, "A new parallel adaptive clustering and its application to streaming data", arXiv:2104.02680, Journal of Computational Science (accepted Nov 2022)
- Yuchen He, Sung Ha Kang, Jean-Michel Morel, "Vectorizing images of any size", 2022 IEEE International Conference on Image Processing (ICIP), October 2022 (accepted)
- Mengyi Tang, Maryam Yashtini and Sung Ha Kang, "Counting Objects by Diffused Index: geometry-free and training-free approach",Journal of Visual Communication and Image Representation, Volume 86, July 2022 (arXiv:2110.08365)
- Yuchen He, Namjoon Suh, Xiaoming Huo, Sung-Ha Kang, and Yajun Mei, "Asymptotic Theory l1-Regularized PDE Identification from a Single Noisy Trajectory", SIAM ASA Journal on Uncertainty Quantification, accepted March 2022.
- Antonio Cicone, Martin Huska, Sung-Ha Kang and Serena Morigi, "JOT: a Variational Signal Decomposition into Jump, Oscillation and Trend", IEEE Transactions on Signal Processing, 70, 772-784, 2022.
- Yuchen He, Sung-Ha Kang, Wenjing Liao, Hao Liu and Yingjie Liu, "Numerical Identification of Nonlocal Potentials in Aggregation", Communications in Computational Physics, accepted 2022.
- Yuchen He, Sung-Ha Kang, Wenjing Liao, Hao Liu and Yingjie Liu, "Robust Identification of Differential Equations by Numerical Techniques from a single set of noisy observation (Robust IDENT from a single set of noisy observation)", SIAM Journal on Scientific Computing, 44(3), 2022 (arXiv:2006.06557).
- Yuchen He, Sung Ha Kang, Jean-Michel Morel, "Silhouette Vectorization by Affine Scale-space", Journal of Mathematical Imaging and Vision, 64, 41-56, 2022, (arXiv:2007.12117).
- Martin Huska, Sung Ha Kang, Alessandro Lanza, and Serena Morigi, "A Variational Approach to Additive Image Decomposition into Structure, Harmonic and Oscillatory Components", SIAM Journal on Imaging Sciences, 14 (4), 2021.
- Yuchen He, Sung Ha Kang, Jean-Michel Morel, "Accurate Silhouette Vectorization by Affine Scale-Space", 2021 IEEE International Conference on Image Processing (ICIP), Septermber 19-22, 2021.
- Yuchen He, Sung Ha Kang, Luis Alvarez, "Finding the skeleton of 2D shape and contours: implementation of Hamilton-Jacobi Skeleton", Image Processing On Line, 11 (2021), pp. 18 -- 36. https://doi.org/10.5201/ipol.2021.296
- Sung Ha Kang, Wenjing Liao, and Yingjie Liu, "IDENT: Identifying Differential Equations with Numerical Time evolution", Journal of Scientific Computing, 87, 1, 2021, (ArXiv:1904.03538).
- Yuchen He, Sung Ha Kang, and Hao Liu, "Curvature Regularized Surface Reconstruction from Point Cloud", SIAM Journal on Imaging Sciences13(4), 1834-1859 (2020), (ArXiv:2001.07884).
- Yuchen He, Martin Huska, Sung Ha Kang, and Hao Liu, "Fast Algorithms for Surface Reconstruction from Point Cloud", ArXiv: 1907.01142, In the proceedings of the International Workshop on Image Processing and Inverse Problems (IPIP 2018) (Springer) Pages 61-80, 2018.
- Sung Ha Kang, Xuecheng Tai and Wei Zhu, "Survey of geometry inspired variational segmentation: interface model, curvature terms and fast computation ", Handbook of Numerical Analysis, Elsevier, Volume 20, 2019.
- Yuchen (Roy) He, and Sung Ha Kang, "Lattice Identication and Separation: Theory and Algorithm" (LISA), SIAM Journal on Imaging Sciences, 12(4), 2063–2096, 2019 (ArXiv:1901.02520).
- Yuchen (Roy) He, and Sung Ha Kang, "Lattice Metric Space Application to Grain Defect Detection", the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2019.
- Maryam Yashtini, Sung Ha Kang, and Wei Zhu, "Efficient Alternating Minimization Methods For Variational Edge-weighted Colorization Models", Advances in Computational Mathematics, 45, pages 1735–1767, 2019
- Sung Ha Kang, Seong Jun Kim, and Haomin Zhou, "Optimal Sensor Positioning (OSP); A Probability Perspective Study", SIAM Journal on Scientific Computing , 39(5), 759-777, 2017
- Xiong Ding and Sung Ha Kang, "Stepsize-adaptive integrators for dissipative solitons in cubic-quintic complex Ginzburg-Landau equations", ArXiv:1703.09622
2008- 2016
- Maryam Yashtini and Sung Ha Kang, "A fast relaxed normal two split method and an effective weighted TV approach for Euler's elastica image inpainting", SIAM Journal of Imaging Science , Volume 9, Number 4, pages 1552-1581, 2016.
- Maryam Yashtini, Sung Ha Kang, "Alternating Direction Method of Multiplier for Euler's Elastica-Based Denoising", International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2015: 690-701.
- Sung Ha Kang, Seong Jun Kim, and Haomin Zhou, "Path optimization with limited sensing ability", Journal of Computational Physics , Volume 299, 15, October 2015, Pages 887–901. (UCLA CAM 14-99)
- Sung Ha Kang, Wei Zhu, and Jianhong (Jackie) Shen, "Illusory Shapes via Corner Fusion", SIAM Journal on Imaging Sciences, 7(4), 1907–1936, 2014 (UCLA CAM 14-21)
- Sung Ha Kang and Riccardo March, ``Multiphase image segmentation via equally distanced multiple well potential", Journal of Visual Communication and Image Representation , Volume 25, Issue 6, Pages 1446 -- 1459, 2014.
- Sung Ha Kang, Behrang Shafei and Gabriele Steidl, "Supervised and Transductive Multi-Class Segmentation Using p-Laplacians and RKHS Method", Journal of Visual Communication and Image Representation, Volume 25, Issue 5, Pages 1136–1148, July 2014.
- Guozhi Dong, Markus Grasmair, Sung Ha Kang, and Otmar Scherzer, ``Scale and Edge Detection with Topological Derivatives", Fourth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) June 2013.
- Yifei Lou, Sung Ha Kang, Stefano Soatto and Andrea Bertozzi, "Video Stabilization of Atmospheric Turbulence Distortion", Inverse Problems and Imaging , Pages: 839 - 861, Volume 7, Issue 3, 2013. (UCLA CAM 12-30)
- Wei Zhu, Sung Ha Kang and George Biros, "A geodesic active contour based variational model for short axis cardiac-MR image segmentation", International Journal of Computer Mathematics , Volume 90, Issue 1,124-139, 2013
- Sung Ha Kang and Riccardo March, "Existence and regularity of minimizers of a functional for unsupervised multiphase segmentation", Nonlinear Analysis Series A: Theory, Methods & Applications, Volume 76, Pages 181–201, January 2013.
- Sung Ha Kang, Berta Sandberg and Andy Yip, "A Regularized K-means and Multiphase Scale Segmentation", Inverse problems and imaging, Volume 5, Issue 2, Pages 407-429, 2011 (UCLA CAM 10-53)
- Frank Crosby and Sung Ha Kang, "Multiphase Segmentation for 3D Flash Lidar Images", Journal of Pattern Recognition Research, Vol 6, No 2, 193-200, 2011
- Minh Ha-Quang, Sung-Ha Kang, and Triet M. Le, ``Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces", Journal of Mathematical Imaging and Vision , Volume 37, Number 1, Pages: 49 - 65, 2010. (UCLA CAM 09-46)
- Berta Sandberg, Sung Ha Kang, and Tony F. Chan, ``Unsupervised Multiphase Segmentation: A phase balancing model", IEEE transaction in Image Processing, Volume: 19, Issue: 1, pages: 119 - 130, 2010. ( UCLA CAM 08-02)
- Marco Barchiesi, Sung Ha Kang, Triet Le, Massimiliano Morini, Marcello Ponsiglione, "A variational model for infinite perimeter segmentations based on Lipschitz level set functions: denoising while keeping finely oscillatory boundaries", SIAM Multiscale Modeling and Simulation , Volume 8, Issue 5, pp. 1715-1741, 2010
- Triet Le, Minh Ha-Quang and Sung-Ha Kang, ``Reproducing kernel and colorization", Proceedings of the 8th International Conference on Sampling Theory and Applications (SAMPTA 09), May 2009.
2000 to 2008
- Tony. F. Chan, Sung Ha Kang and Jianhong Shen, ``Total variation denoising and enhancement of color images based on the CB and HSV color Models'', Journal of Visual Communication and Image Representation, Volume 12, Issue 4, Pages 422-435, 2001. Full color images available at: UCLA CAM00-25.
- Tony. F. Chan, Sung Ha Kang and Jianhong Shen,``Euler's Elastica and curvature based inpaintings'', SIAM journal on Applied Mathematics, Volume 63, Number 2, Pages 564-592, 2002. Preprint UCLA CAM01-12 .
- Sung Ha Kang, Tony. F. Chan and Stefano Soatto, ``Inpainting from Multiple view", IEEE Proceedings of First International Symposium on 3D Data Processing Visualization Transmission, Pages 622-625, 2002. Preprint UCLA CAM 02-31.
- Sung Ha Kang and Jianhong Shen, "Video dejittering by bake and shake", Image and vision computing, Volume 24, Issue 2, Pages 143-152, 2006. Full color images available at: UCLA CAM 04-60.
- Tony F. Chan and Sung Ha Kang, ``Error analysis for image inpainting'', Journal of Mathematical Imaging and Vision, Volume 26, Number 1-2, pages 85-103, 2006. Full color images available at: UCLA CAM 04-72.
- Jean-Francois Aujol and Sung Ha Kang, ''Color image decomposition and restoration'', Journal of Visual Communication and Image Representation , Volume 17, Issue 4, pages 916-928, 2006. Full color images available at: UCLA CAM04-73.
- Sung Ha Kang and Jianhong Shen, ``On the slicing moments of BV functions and applications to image dejittering'', Image Processing Based on Partial Differential Equations, Springer-Verlag, Berlin, pages 35-55, 2007. Preprint UCLA CAM05-11.
- Sung Ha Kang and Riccardo March, ``Variational models for image colorization via Chromaticity and Brightness decomposition'', IEEE transaction in Image Processing, Volume 16, Issue 9, Pages 2251-2261, 2007. Full color images : IMA preprint 2138.
- Yoon Mo Jung, Sung Ha Kang and Jianhong Shen, ``Multiphase image segmentation via Modica-Mortola phase transition'', SIAM applied Mathematics, Volume 67, Issue 5, Pages 1213- 1232, 2007. Preprint UCLA CAM06-31, IMA preprint 2124
- Jianhong Shen and Sung Ha Kang, ``Quantum TV and Applications in Image Processing'', Inverse Problems and Imaging, Volume 1, Number 3, Pages 557-575, 2007. Preprint UCLA CAM07-09.
- James H. Money and Sung Ha Kang, ``Total variation semi-blind deconvolution using shock filters", Image and Vision Computing Volume 26, Issue 2, Pages 302-314, 2008.
- Jeff Anderson, Feng-Nan Hwang, Sung Ha Kang, Bahareh Momken, Richard Shugart, Caroline Torcaso, ``Modeling molecular diffusion in soft tissues using fluorescence microscopy", NCSU tech report CRSC-TR00-24, 2000.
- Sung Ha Kang, Tony F. Chan and Stefano Soatto, ``Landmark based inpainting from Multiple view", UCLA Math CAM Report 02-11, March 2002.
- SeongJai Kim and Sung Ha Kang, ``Implicit Procedures for PDE-based Color Images Denoising via Brightness-Chromaticity", UK tech report 02-07, 2002.