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Myungjoo Kang
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2020 – today
- 2025
- [j55]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. Pattern Recognit. 157: 110914 (2025) - 2024
- [j54]Yesom Park, Changhoon Song, Jooyoung Hahn, Myungjoo Kang:
ReSDF: Redistancing implicit surfaces using neural networks. J. Comput. Phys. 502: 112803 (2024) - [j53]Geonho Hwang, Yesom Park, Yueun Lee, Myungjoo Kang:
Analysis of efficient preconditioner for solving Poisson equation with Dirichlet boundary condition in irregular three-dimensional domains. J. Comput. Phys. 519: 113418 (2024) - [j52]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j51]Taeyoung Kim, Myungjoo Kang:
Bounding the Rademacher complexity of Fourier neural operators. Mach. Learn. 113(5): 2467-2498 (2024) - [c18]Yebin Lee, Imseong Park, Myungjoo Kang:
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model. ACL (1) 2024: 3732-3746 - [c17]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving Optimal-Transport-based Adversarial Networks. ICLR 2024 - [c16]Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang:
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks. ICLR 2024 - [c15]Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park:
Feature-aligned N-BEATS with Sinkhorn divergence. ICLR 2024 - [c14]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. ICML 2024 - [i40]Taeyoung Kim, Myungjoo Kang:
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws. CoRR abs/2401.01783 (2024) - [i39]Kyungsung Lee, Donggyu Lee, Myungjoo Kang:
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models. CoRR abs/2401.17629 (2024) - [i38]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. CoRR abs/2402.05443 (2024) - [i37]Taeyoung Kim, Youngsoo Ha, Myungjoo Kang:
Neural Operators Learn the Local Physics of Magnetohydrodynamics. CoRR abs/2404.16015 (2024) - [i36]Hoin Jung, Hyunsoo Cho, Myungje Choi, Joowon Lee, Jung Ho Park, Myungjoo Kang:
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering. CoRR abs/2404.17598 (2024) - [i35]Yebin Lee, Imseong Park, Myungjoo Kang:
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model. CoRR abs/2406.06004 (2024) - [i34]Taeyoung Kim, Myungjoo Kang:
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective. CoRR abs/2408.02697 (2024) - [i33]Seungcheol Shin, Myungjoo Kang:
Decomposition of one-layer neural networks via the infinite sum of reproducing kernel Banach spaces. CoRR abs/2409.18132 (2024) - [i32]Yesom Park, Changhoon Song, Myungjoo Kang:
Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis. CoRR abs/2409.20383 (2024) - [i31]Taekyung Lee, Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. CoRR abs/2410.02671 (2024) - 2023
- [j50]Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang:
Self-knowledge distillation via dropout. Comput. Vis. Image Underst. 233: 103720 (2023) - [j49]Bongyeong Koo, Han-Soo Choi, Myungjoo Kang:
Aggregation of attention and erasing for weakly supervised object localization. Image Vis. Comput. 129: 104598 (2023) - [j48]Changhoon Song, Geonho Hwang, Junho Lee, Myungjoo Kang:
Minimal Width for Universal Property of Deep RNN. J. Mach. Learn. Res. 24: 121:1-121:41 (2023) - [j47]Jaewoong Choi, Geonho Hwang, Myungjoo Kang:
Disentangling the correlated continuous and discrete generative factors of data. Pattern Recognit. 133: 109055 (2023) - [c13]Myeongho Jeon, Myungjoo Kang, Joonseok Lee:
A Unified Framework for Robustness on Diverse Sampling Errors. ICCV 2023: 1464-1472 - [c12]Hyeryeong Seo, Minhyuk Lee, Woojin Cheong, Hyekyung Yoon, Sohyung Kim, Myungjoo Kang:
Enhancing Multi-Label Long-Tailed Classification on Chest X-Rays through ML-GCN Augmentation. ICCV (Workshops) 2023: 2739-2748 - [c11]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Finding the Global Semantic Representation in GAN through Fréchet Mean. ICLR 2023 - [c10]Myeongho Jeon, Hyoje Lee, Yedarm Seong, Myungjoo Kang:
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting. ICLR 2023 - [c9]Jaemoo Choi, Yesom Park, Myungjoo Kang:
Restoration based Generative Models. ICML 2023: 5787-5816 - [c8]Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang:
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. ICML 2023: 14237-14248 - [c7]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. NeurIPS 2023 - [c6]Yesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang:
p-Poisson surface reconstruction in curl-free flow from point clouds. NeurIPS 2023 - [i30]Yesom Park, Jaemoo Choi, Changyeon Yoon, Changhoon Song, Myungjoo Kang:
Learning PDE Solution Operator for Continuous Modeling of Time-Series. CoRR abs/2302.00854 (2023) - [i29]Jaemoo Choi, Yesom Park, Myungjoo Kang:
Restoration based Generative Models. CoRR abs/2303.05456 (2023) - [i28]Yungi Jeong, Eunseok Yang, Jung Hyun Ryu, Imseong Park, Myungjoo Kang:
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme. CoRR abs/2305.04468 (2023) - [i27]Yesom Park, Changhoon Song, Jooyoung Hahn, Myungjoo Kang:
ReSDF: Redistancing Implicit Surfaces using Neural Networks. CoRR abs/2305.08174 (2023) - [i26]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. CoRR abs/2305.14777 (2023) - [i25]Myeongho Jeon, Myungjoo Kang, Joonhun Lee, Kyunghyun Park:
Feature-aligned N-BEATS with Sinkhorn divergence. CoRR abs/2305.15196 (2023) - [i24]Jaeheyoung Jeon, Jung Hyun Ryu, Jewoong Cho, Myungjoo Kang:
AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation. CoRR abs/2307.05469 (2023) - [i23]Jung Hyun Ryu, Jaeheyoung Jeon, Jewoong Cho, Myungjoo Kang:
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation. CoRR abs/2307.05476 (2023) - [i22]Jaemoo Choi, Jaewoong Choi, Myungjoo Kang:
Analyzing and Improving OT-based Adversarial Networks. CoRR abs/2310.02611 (2023) - [i21]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i20]Yesom Park, Taekyung Lee, Jooyoung Hahn, Myungjoo Kang:
p-Poisson surface reconstruction in curl-free flow from point clouds. CoRR abs/2310.20095 (2023) - 2022
- [j46]Han-Soo Choi, Kyungmin Song, Myungjoo Kang, Yongcheol Kim, Kang-Kun Lee, Hanna Choi:
Deep learning algorithms for prediction of PM10 dynamics in urban and rural areas of Korea. Earth Sci. Informatics 15(2): 845-853 (2022) - [j45]Hyuntae Cho, Yesom Park, Myungjoo Kang:
Solving incompressible Navier-Stokes equations on irregular domains and quadtrees by monolithic approach. J. Comput. Phys. 463: 111304 (2022) - [j44]Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang:
MCW-Net: Single image deraining with multi-level connections and wide regional non-local blocks. Signal Process. Image Commun. 105: 116701 (2022) - [j43]Hoin Jung, Han-Soo Choi, Myungjoo Kang:
Boundary Enhancement Semantic Segmentation for Building Extraction From Remote Sensed Image. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c5]Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee:
A Conservative Approach for Unbiased Learning on Unknown Biases. CVPR 2022: 16731-16739 - [c4]Jaewoong Choi, Junho Lee, Changyeon Yoon, Jung Ho Park, Geonho Hwang, Myungjoo Kang:
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. ICLR 2022 - [i19]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Analyzing the Latent Space of GAN through Local Dimension Estimation. CoRR abs/2205.13182 (2022) - [i18]Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang:
Self-Knowledge Distillation via Dropout. CoRR abs/2208.05642 (2022) - [i17]Taeyoung Kim, Myungjoo Kang:
Bounding the Rademacher Complexity of Fourier Neural Operators. CoRR abs/2209.05150 (2022) - [i16]Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang:
Finding the global semantic representation in GAN through Frechet Mean. CoRR abs/2210.05509 (2022) - [i15]Geonho Hwang, Myungjoo Kang:
Universal Property of Convolutional Neural Networks. CoRR abs/2211.09983 (2022) - [i14]Changhoon Song, Geonho Hwang, Junho Lee, Myungjoo Kang:
Minimal Width for Universal Property of Deep RNN. CoRR abs/2211.13866 (2022) - 2021
- [j42]Hyeonuk Kim, Kyunghyun Park, Junkee Jeon, Changhoon Song, Jungwoo Bae, Yongsik Kim, Myungjoo Kang:
Candidate point selection using a self-attention mechanism for generating a smooth volatility surface under the SABR model. Expert Syst. Appl. 173: 114640 (2021) - [j41]Hyuntae Cho, Myungjoo Kang:
Fully implicit and accurate treatment of jump conditions for two-phase incompressible Navier-Stokes equations. J. Comput. Phys. 445: 110587 (2021) - [j40]Bongyeong Koo, Han-Soo Choi, Myungjoo Kang:
Simple feature pyramid network for weakly supervised object localization using multi-scale information. Multidimens. Syst. Signal Process. 32(4): 1185-1197 (2021) - [j39]Kyungmin Song, Han-Soo Choi, Myungjoo Kang:
Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device. Mach. Vis. Appl. 32(6): 120 (2021) - [j38]Hyomin Ahn, Myungjoo Kang:
Dynamic background subtraction with masked RPCA. Signal Image Video Process. 15(3): 467-474 (2021) - [c3]Sungkwon An, Hyungmin Roh, Myungjoo Kang:
Blur Invariant Kernel-Adaptive Network for Single Image Blind Deblurring. ICME 2021: 1-6 - [i13]Sungkwon An, Jeonghoon Kim, Myungjoo Kang, Shahbaz Razaei, Xin Liu:
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. CoRR abs/2101.02358 (2021) - [i12]Hyungmin Roh, Myungjoo Kang:
High-Frequency aware Perceptual Image Enhancement. CoRR abs/2105.11711 (2021) - [i11]Jaewoong Choi, Changyeon Yoon, Junho Lee, Jung Ho Park, Geonho Hwang, Myungjoo Kang:
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. CoRR abs/2106.06959 (2021) - [i10]Jaemoo Choi, Changyeon Yoon, Jeongwoo Bae, Myungjoo Kang:
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models. CoRR abs/2106.07903 (2021) - [i9]Hyuntae Cho, Yesom Park, Myungjoo Kang:
Solving incompressible Navier-Stokes equations on irregular domains and quadtrees by monolithic approach. CoRR abs/2108.12073 (2021) - 2020
- [j37]Geonwoo Kim, Junghee Cho, Myungjoo Kang:
Cauchy Noise Removal by Weighted Nuclear Norm Minimization. J. Sci. Comput. 83(1): 15 (2020) - [j36]Sangwon Lee, Myungjoo Kang:
Group Sparse Representation for Restoring Blurred Images with Cauchy Noise. J. Sci. Comput. 83(3): 41 (2020) - [c2]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CVPR Workshops 2020: 2077-2088 - [i8]Yeachan Park, Myungjoo Kang:
Membership Inference Attacks Against Object Detection Models. CoRR abs/2001.04011 (2020) - [i7]Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yun Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar:
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. CoRR abs/2005.04117 (2020) - [i6]Hyuntae Cho, Yesom Park, Myungjoo Kang:
A second-order accurate semi-Lagrangian method for convection-diffusion equations with interfacial jumps. CoRR abs/2005.13717 (2020) - [i5]Hyuntae Cho, Myungjoo Kang:
Fully implicit and accurate treatment of jump conditions for two-phase incompressible Navier-Stokes equation. CoRR abs/2005.13724 (2020) - [i4]Sungkwon An, Hyungmin Roh, Myungjoo Kang:
Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring. CoRR abs/2007.04543 (2020) - [i3]Jaewoong Choi, Geonho Hwang, Myungjoo Kang:
Discond-VAE: Disentangling Continuous Factors from the Discrete. CoRR abs/2009.08039 (2020) - [i2]Yeachan Park, Myeongho Jeon, Junho Lee, Myungjoo Kang:
MARA-Net: Single Image Deraining Network with Multi-level connection and Adaptive Regional Attention. CoRR abs/2009.13990 (2020)
2010 – 2019
- 2019
- [j35]Han-Soo Choi, Keunhoi An, Myungjoo Kang:
Regression with residual neural network for vanishing point detection. Image Vis. Comput. 91 (2019) - [j34]Hyeonuk Kim, Heejae Han, Dalhyeon Gwon, Myungjoo Kang:
High order face-offsetting method for interface tracking problem using WENO schemes. J. Comput. Phys. 376: 863-893 (2019) - [j33]Hyuntae Cho, Heejae Han, Byungjoon Lee, Youngsoo Ha, Myungjoo Kang:
A Second-Order Boundary Condition Capturing Method for Solving the Elliptic Interface Problems on Irregular Domains. J. Sci. Comput. 81(1): 217-251 (2019) - [j32]Myeongmin Kang, Myungjoo Kang, Miyoun Jung:
Sparse representation based image deblurring model under random-valued impulse noise. Multidimens. Syst. Signal Process. 30(3): 1063-1092 (2019) - [c1]Jaewoong Choi, Hyun Seo, Suii Im, Myungjoo Kang:
Attention Routing Between Capsules. ICCV Workshops 2019: 1981-1989 - [i1]Sangyeon Kim, Myungjoo Kang:
Financial series prediction using Attention LSTM. CoRR abs/1902.10877 (2019) - 2018
- [j31]Myeongmin Kang, Miyoun Jung, Myungjoo Kang:
Higher-order regularization based image restoration with automatic regularization parameter selection. Comput. Math. Appl. 76(1): 58-80 (2018) - [j30]Hanwool Na, Myeongmin Kang, Miyoun Jung, Myungjoo Kang:
An Exp Model with Spatially Adaptive Regularization Parameters for Multiplicative Noise Removal. J. Sci. Comput. 75(1): 478-509 (2018) - [j29]Myeongmin Kang, Myungjoo Kang, Miyoun Jung:
Image Colorization Based on a Generalization of the Low Dimensional Manifold Model. J. Sci. Comput. 77(2): 911-935 (2018) - [j28]Myeongmin Kang, Miyoun Jung, Myungjoo Kang:
Rician denoising and deblurring using sparse representation prior and nonconvex total variation. J. Vis. Commun. Image Represent. 54: 80-99 (2018) - 2017
- [j27]Myungjoo Kang, Junkee Jeon, Heejae Han, Somin Lee:
Analytic solution for American strangle options using Laplace-Carson transforms. Commun. Nonlinear Sci. Numer. Simul. 47: 292-307 (2017) - [j26]Junkee Jeon, Heejae Han, Myungjoo Kang:
Valuing American floating strike lookback option and Neumann problem for inhomogeneous Black-Scholes equation. J. Comput. Appl. Math. 313: 218-234 (2017) - [j25]Junkee Jeon, Ji-Hun Yoon, Myungjoo Kang:
Pricing vulnerable path-dependent options using integral transforms. J. Comput. Appl. Math. 313: 259-272 (2017) - [j24]Byungjoon Lee, Jérôme Darbon, Stanley J. Osher, Myungjoo Kang:
Revisiting the redistancing problem using the Hopf-Lax formula. J. Comput. Phys. 330: 268-281 (2017) - [j23]Seongju Do, Haojun Li, Myungjoo Kang:
Wavelet-based adaptation methodology combined with finite difference WENO to solve ideal magnetohydrodynamics. J. Comput. Phys. 339: 482-499 (2017) - [j22]Myeongmin Kang, Myungjoo Kang, Miyoun Jung:
Total Generalized Variation Based Denoising Models for Ultrasound Images. J. Sci. Comput. 72(1): 172-197 (2017) - 2016
- [j21]Junkee Jeon, Ji-Hun Yoon, Myungjoo Kang:
Valuing vulnerable geometric Asian options. Comput. Math. Appl. 71(2): 676-691 (2016) - [j20]Junkee Jeon, Heejae Han, Hyeonuk Kim, Myungjoo Kang:
An integral equation representation approach for valuing Russian options with a finite time horizon. Commun. Nonlinear Sci. Numer. Simul. 36: 496-516 (2016) - [j19]Byungjoon Lee, Myungjoo Kang:
Full 3D Simulations of Two-Phase Core-Annular Flow in Horizontal Pipe Using Level Set Method. J. Sci. Comput. 66(3): 1025-1051 (2016) - [j18]Miyoun Jung, Myungjoo Kang:
Variational Image Colorization Models Using Higher-Order Mumford-Shah Regularizers. J. Sci. Comput. 68(2): 864-888 (2016) - [j17]Seongju Do, Youngsoo Ha, Myungjoo Kang, Changho Kim:
Application of a Multi-dimensional Limiting Process to Central-Upwind Schemes for Solving Hyperbolic Systems of Conservation Laws. J. Sci. Comput. 69(1): 274-291 (2016) - 2015
- [j16]Myeongmin Kang, Myungjoo Kang, Miyoun Jung:
Inexact accelerated augmented Lagrangian methods. Comput. Optim. Appl. 62(2): 373-404 (2015) - [j15]Miyoun Jung, Myungjoo Kang:
Efficient Nonsmooth Nonconvex Optimization for Image Restoration and Segmentation. J. Sci. Comput. 62(2): 336-370 (2015) - [j14]Seungmi Oh, Myungjoo Kang:
Image Decomposition using a Local Gradient Constraint. J. Sci. Comput. 63(1): 213-232 (2015) - [j13]Myeongmin Kang, Myungjoo Kang, Miyoun Jung:
Nonconvex higher-order regularization based Rician noise removal with spatially adaptive parameters. J. Vis. Commun. Image Represent. 32: 180-193 (2015) - [j12]Miyoun Jung, Myungjoo Kang:
Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization. SIAM J. Imaging Sci. 8(1): 721-756 (2015) - 2014
- [j11]Miyoun Jung, Myeongmin Kang, Myungjoo Kang:
Variational Image Segmentation Models Involving Non-smooth Data-Fidelity Terms. J. Sci. Comput. 59(2): 277-308 (2014) - [j10]Thuy Nguyen, Kyungmin Song, Yury Tsoy, Jin Kim, Yong-Jun Kwon, Myungjoo Kang, Michael Edberg Hansen:
Robust dose-response curve estimation applied to high content screening data analysis. Source Code Biol. Medicine 9: 27 (2014) - 2013
- [j9]Youngsoo Ha, Changho Kim, Myungjoo Kang:
Simulations of Supersonic Astrophysical Jets and Their Environments Using Level Set Methods. J. Sci. Comput. 54(2-3): 414-427 (2013) - [j8]Myeongmin Kang, Sangwoon Yun, Hyenkyun Woo, Myungjoo Kang:
Accelerated Bregman Method for Linearly Constrained ℓ1-ℓ2 Minimization. J. Sci. Comput. 56(3): 515-534 (2013) - [j7]Seungmi Oh, Hyenkyun Woo, Sangwoon Yun, Myungjoo Kang:
Non-convex hybrid total variation for image denoising. J. Vis. Commun. Image Represent. 24(3): 332-344 (2013) - [j6]Myungjoo Kang, Sangwoon Yun, Hyenkyun Woo:
Two-Level Convex Relaxed Variational Model for Multiplicative Denoising. SIAM J. Imaging Sci. 6(2): 875-903 (2013) - 2012
- [j5]Sunhee Kim, Myungjoo Kang:
Multiple-Region Segmentation Without Supervision by Adaptive Global Maximum Clustering. IEEE Trans. Image Process. 21(4): 1600-1612 (2012)
2000 – 2009
- 2007
- [j4]Jeong-Mo Hong, Tamar Shinar, Myungjoo Kang, Ronald Fedkiw:
On Boundary Condition Capturing for Multiphase Interfaces. J. Sci. Comput. 31(1-2): 99-125 (2007) - [j3]Myungjoo Kang, Hyeseon Shim, Stanley J. Osher:
Level Set Based Simulations of Two-Phase Oil-Water Flows in Pipes. J. Sci. Comput. 31(1-2): 153-184 (2007) - 2000
- [j2]Hong-Kai Zhao, Stanley J. Osher, Barry Merriman, Myungjoo Kang:
Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method. Comput. Vis. Image Underst. 80(3): 295-314 (2000) - [j1]Myungjoo Kang, Ronald Fedkiw, Xu-Dong Liu:
A Boundary Condition Capturing Method for Multiphase Incompressible Flow. J. Sci. Comput. 15(3): 323-360 (2000)
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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