Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method. - Hong-Kai Zhao; Stanley J. Osher; Barry Merriman; Myungjoo Kang (Comput. Vis. Image Underst., 2000)

A Boundary Condition Capturing Method for Multiphase Incompressible Flow. - Myungjoo Kang; Ronald Fedkiw; Xu-Dong Liu (J. Sci. Comput., 2000)

On Boundary Condition Capturing for Multiphase Interfaces. - Jeong-Mo Hong; Tamar Shinar; Myungjoo Kang; Ronald Fedkiw (J. Sci. Comput., 2007)

Level Set Based Simulations of Two-Phase Oil-Water Flows in Pipes. - Myungjoo Kang; Hyeseon Shim; Stanley J. Osher (J. Sci. Comput., 2007)

Multiple-Region Segmentation Without Supervision by Adaptive Global Maximum Clustering. - Sunhee Kim; Myungjoo Kang (IEEE Trans. Image Process., 2012)

Simulations of Supersonic Astrophysical Jets and Their Environments Using Level Set Methods. - Youngsoo Ha; Changho Kim; Myungjoo Kang (J. Sci. Comput., 2013)

Accelerated Bregman Method for Linearly Constrained ℓ1-ℓ2 Minimization. - Myeongmin Kang; Sangwoon Yun; Hyenkyun Woo; Myungjoo Kang (J. Sci. Comput., 2013)

Non-convex hybrid total variation for image denoising. - Seungmi Oh; Hyenkyun Woo; Sangwoon Yun; Myungjoo Kang (J. Vis. Commun. Image Represent., 2013)

Two-Level Convex Relaxed Variational Model for Multiplicative Denoising. - Myungjoo Kang; Sangwoon Yun; Hyenkyun Woo (SIAM J. Imaging Sci., 2013)

Variational Image Segmentation Models Involving Non-smooth Data-Fidelity Terms. - Miyoun Jung; Myeongmin Kang; Myungjoo Kang (J. Sci. Comput., 2014)

Robust dose-response curve estimation applied to high content screening data analysis. - Thuy Nguyen; Kyungmin Song; Yury Tsoy; Jin Kim; Yong-Jun Kwon; Myungjoo Kang; Michael Edberg Hansen (Source Code Biol. Medicine, 2014)

Inexact accelerated augmented Lagrangian methods. - Myeongmin Kang; Myungjoo Kang; Miyoun Jung (Comput. Optim. Appl., 2015)

Efficient Nonsmooth Nonconvex Optimization for Image Restoration and Segmentation. - Miyoun Jung; Myungjoo Kang (J. Sci. Comput., 2015)

Image Decomposition using a Local Gradient Constraint. - Seungmi Oh; Myungjoo Kang (J. Sci. Comput., 2015)

Nonconvex higher-order regularization based Rician noise removal with spatially adaptive parameters. - Myeongmin Kang; Myungjoo Kang; Miyoun Jung (J. Vis. Commun. Image Represent., 2015)

Simultaneous Cartoon and Texture Image Restoration with Higher-Order Regularization. - Miyoun Jung; Myungjoo Kang (SIAM J. Imaging Sci., 2015)

Valuing vulnerable geometric Asian options. - Junkee Jeon; Ji-Hun Yoon; Myungjoo Kang (Comput. Math. Appl., 2016)

An integral equation representation approach for valuing Russian options with a finite time horizon. - Junkee Jeon; Heejae Han; Hyeonuk Kim; Myungjoo Kang (Commun. Nonlinear Sci. Numer. Simul., 2016)

Application of a Multi-dimensional Limiting Process to Central-Upwind Schemes for Solving Hyperbolic Systems of Conservation Laws. - Seongju Do; Youngsoo Ha; Myungjoo Kang; Changho Kim (J. Sci. Comput., 2016)

Variational Image Colorization Models Using Higher-Order Mumford-Shah Regularizers. - Miyoun Jung; Myungjoo Kang (J. Sci. Comput., 2016)

Full 3D Simulations of Two-Phase Core-Annular Flow in Horizontal Pipe Using Level Set Method. - Byungjoon Lee 001; Myungjoo Kang (J. Sci. Comput., 2016)

Analytic solution for American strangle options using Laplace-Carson transforms. - Myungjoo Kang; Junkee Jeon; Heejae Han; Somin Lee (Commun. Nonlinear Sci. Numer. Simul., 2017)

Valuing American floating strike lookback option and Neumann problem for inhomogeneous Black-Scholes equation. - Junkee Jeon; Heejae Han; Myungjoo Kang (J. Comput. Appl. Math., 2017)

Pricing vulnerable path-dependent options using integral transforms. - Junkee Jeon; Ji-Hun Yoon; Myungjoo Kang (J. Comput. Appl. Math., 2017)

Wavelet-based adaptation methodology combined with finite difference WENO to solve ideal magnetohydrodynamics. - Seongju Do; Haojun Li; Myungjoo Kang (J. Comput. Phys., 2017)

Revisiting the redistancing problem using the Hopf-Lax formula. - Byungjoon Lee 001; Jérôme Darbon; Stanley J. Osher; Myungjoo Kang (J. Comput. Phys., 2017)

Total Generalized Variation Based Denoising Models for Ultrasound Images. - Myeongmin Kang; Myungjoo Kang; Miyoun Jung (J. Sci. Comput., 2017)

Higher-order regularization based image restoration with automatic regularization parameter selection. - Myeongmin Kang; Miyoun Jung; Myungjoo Kang (Comput. Math. Appl., 2018)

Image Colorization Based on a Generalization of the Low Dimensional Manifold Model. - Myeongmin Kang; Myungjoo Kang; Miyoun Jung (J. Sci. Comput., 2018)

An Exp Model with Spatially Adaptive Regularization Parameters for Multiplicative Noise Removal. - Hanwool Na; Myeongmin Kang; Miyoun Jung; Myungjoo Kang (J. Sci. Comput., 2018)

Rician denoising and deblurring using sparse representation prior and nonconvex total variation. - Myeongmin Kang; Miyoun Jung; Myungjoo Kang (J. Vis. Commun. Image Represent., 2018)

Attention Routing Between Capsules. - Jaewoong Choi; Hyun Seo; Suii Im; Myungjoo Kang (ICCV Workshops, 2019)

Financial series prediction using Attention LSTM. - Sangyeon Kim; Myungjoo Kang (CoRR, 2019)

Regression with residual neural network for vanishing point detection. - Han-Soo Choi; Keunhoi An; Myungjoo Kang (Image Vis. Comput., 2019)

High order face-offsetting method for interface tracking problem using WENO schemes. - Hyeonuk Kim; Heejae Han; Dalhyeon Gwon; Myungjoo Kang (J. Comput. Phys., 2019)

A Second-Order Boundary Condition Capturing Method for Solving the Elliptic Interface Problems on Irregular Domains. - Hyuntae Cho; Heejae Han; Byungjoon Lee 001; Youngsoo Ha; Myungjoo Kang (J. Sci. Comput., 2019)

Sparse representation based image deblurring model under random-valued impulse noise. - Myeongmin Kang; Myungjoo Kang; Miyoun Jung (Multidimens. Syst. Signal Process., 2019)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yue Cao 009; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CVPR Workshops, 2020)

Membership Inference Attacks Against Object Detection Models. - Yeachan Park; Myungjoo Kang (CoRR, 2020)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yun Cao 002; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CoRR, 2020)

A second-order accurate semi-Lagrangian method for convection-diffusion equations with interfacial jumps. - Hyuntae Cho; Yesom Park; Myungjoo Kang (CoRR, 2020)

Fully implicit and accurate treatment of jump conditions for two-phase incompressible Navier-Stokes equation. - Hyuntae Cho; Myungjoo Kang (CoRR, 2020)

Long-Term Residual Blending Network for Blur Invariant Single Image Blind deblurring. - Sungkwon An; Hyungmin Roh; Myungjoo Kang (CoRR, 2020)

Discond-VAE: Disentangling Continuous Factors from the Discrete. - Jaewoong Choi; Geonho Hwang; Myungjoo Kang (CoRR, 2020)

MARA-Net: Single Image Deraining Network with Multi-level connection and Adaptive Regional Attention. - Yeachan Park; Myeongho Jeon; Junho Lee; Myungjoo Kang (CoRR, 2020)

Cauchy Noise Removal by Weighted Nuclear Norm Minimization. - Geonwoo Kim; Junghee Cho; Myungjoo Kang (J. Sci. Comput., 2020)

Group Sparse Representation for Restoring Blurred Images with Cauchy Noise. - Sangwon Lee; Myungjoo Kang (J. Sci. Comput., 2020)

Blur Invariant Kernel-Adaptive Network for Single Image Blind Deblurring. - Sungkwon An; Hyungmin Roh; Myungjoo Kang (ICME, 2021)

OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space. - Sungkwon An; Jeonghoon Kim; Myungjoo Kang; Shahbaz Razaei; Xin Liu (CoRR, 2021)

High-Frequency aware Perceptual Image Enhancement. - Hyungmin Roh; Myungjoo Kang (CoRR, 2021)

Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models. - Jaemoo Choi; Changyeon Yoon; Jeongwoo Bae; Myungjoo Kang (CoRR, 2021)

Candidate point selection using a self-attention mechanism for generating a smooth volatility surface under the SABR model. - Hyeonuk Kim; Kyunghyun Park; Junkee Jeon; Changhoon Song; Jungwoo Bae; Yongsik Kim; Myungjoo Kang (Expert Syst. Appl., 2021)

Fully implicit and accurate treatment of jump conditions for two-phase incompressible Navier-Stokes equations. - Hyuntae Cho; Myungjoo Kang (J. Comput. Phys., 2021)

Simple feature pyramid network for weakly supervised object localization using multi-scale information. - Bongyeong Koo; Han-Soo Choi; Myungjoo Kang (Multidimens. Syst. Signal Process., 2021)

Squeezed fire binary segmentation model using convolutional neural network for outdoor images on embedded device. - Kyungmin Song; Han-Soo Choi; Myungjoo Kang (Mach. Vis. Appl., 2021)

Dynamic background subtraction with masked RPCA. - Hyomin Ahn; Myungjoo Kang (Signal Image Video Process., 2021)

A Conservative Approach for Unbiased Learning on Unknown Biases. - Myeongho Jeon; Daekyung Kim; Woochul Lee; Myungjoo Kang; Joonseok Lee (CVPR, 2022)

Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs. - Jaewoong Choi; Junho Lee; Changyeon Yoon; Jung Ho Park; Geonho Hwang; Myungjoo Kang (ICLR, 2022)

Analyzing the Latent Space of GAN through Local Dimension Estimation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (CoRR, 2022)

Universal Property of Convolutional Neural Networks. - Geonho Hwang; Myungjoo Kang (CoRR, 2022)

Deep learning algorithms for prediction of PM10 dynamics in urban and rural areas of Korea. - Han-Soo Choi; Kyungmin Song; Myungjoo Kang; Yongcheol Kim; Kang-Kun Lee; Hanna Choi (Earth Sci. Informatics, 2022)

Solving incompressible Navier-Stokes equations on irregular domains and quadtrees by monolithic approach. - Hyuntae Cho; Yesom Park; Myungjoo Kang (J. Comput. Phys., 2022)

MCW-Net: Single image deraining with multi-level connections and wide regional non-local blocks. - Yeachan Park; Myeongho Jeon; Junho Lee; Myungjoo Kang (Signal Process. Image Commun., 2022)

Boundary Enhancement Semantic Segmentation for Building Extraction From Remote Sensed Image. - Hoin Jung; Han-Soo Choi; Myungjoo Kang (IEEE Trans. Geosci. Remote. Sens., 2022)

A Unified Framework for Robustness on Diverse Sampling Errors. - Myeongho Jeon; Myungjoo Kang; Joonseok Lee (ICCV, 2023)

Enhancing Multi-Label Long-Tailed Classification on Chest X-Rays through ML-GCN Augmentation. - Hyeryeong Seo; Minhyuk Lee; Woojin Cheong; Hyekyung Yoon; Sohyung Kim; Myungjoo Kang (ICCV (Workshops), 2023)

Finding the Global Semantic Representation in GAN through Fréchet Mean. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (ICLR, 2023)

Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting. - Myeongho Jeon; Hyoje Lee; Yedarm Seong; Myungjoo Kang (ICLR, 2023)

Restoration based Generative Models. - Jaemoo Choi; Yesom Park; Myungjoo Kang (ICML, 2023)

MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. - Geonho Hwang; Jaewoong Choi; Hyunsoo Cho; Myungjoo Kang (ICML, 2023)

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (NeurIPS, 2023)

p-Poisson surface reconstruction in curl-free flow from point clouds. - Yesom Park; Taekyung Lee; Jooyoung Hahn; Myungjoo Kang (NeurIPS, 2023)

Learning PDE Solution Operator for Continuous Modeling of Time-Series. - Yesom Park; Jaemoo Choi; Changyeon Yoon; Changhoon Song; Myungjoo Kang (CoRR, 2023)

AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme. - Yungi Jeong; Eunseok Yang; Jung Hyun Ryu; Imseong Park; Myungjoo Kang (CoRR, 2023)

AdaptiveRec: Adaptively Construct Pairs for Contrastive Learning in Sequential Recommendation. - Jaeheyoung Jeon; Jung Hyun Ryu; Jewoong Cho; Myungjoo Kang (CoRR, 2023)

Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation. - Jung Hyun Ryu; Jaeheyoung Jeon; Jewoong Cho; Myungjoo Kang (CoRR, 2023)

Analyzing and Improving OT-based Adversarial Networks. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (CoRR, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Aggregation of attention and erasing for weakly supervised object localization. - Bongyeong Koo; Han-Soo Choi; Myungjoo Kang (Image Vis. Comput., 2023)

Minimal Width for Universal Property of Deep RNN. - Changhoon Song; Geonho Hwang; Junho Lee; Myungjoo Kang (J. Mach. Learn. Res., 2023)

Disentangling the correlated continuous and discrete generative factors of data. - Jaewoong Choi; Geonho Hwang; Myungjoo Kang (Pattern Recognit., 2023)

Self-knowledge distillation via dropout. - Hyoje Lee; Yeachan Park; Hyun Seo; Myungjoo Kang (Comput. Vis. Image Underst., 2023)

FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model. - Yebin Lee; Imseong Park; Myungjoo Kang (ACL (1), 2024)

Analyzing and Improving Optimal-Transport-based Adversarial Networks. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (ICLR, 2024)

Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks. - Suhwan Choi; Myeongho Jeon; Yeonjung Hwang; Jeonglyul Oh; Sungjun Lim 003; Joonseok Lee; Myungjoo Kang (ICLR, 2024)

Feature-aligned N-BEATS with Sinkhorn divergence. - Joonhun Lee; Myeongho Jeon; Myungjoo Kang; Kyunghyun Park (ICLR, 2024)

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport. - Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (ICML, 2024)

How does PDE order affect the convergence of PINNs? - Changhoon Song; Yesom Park; Myungjoo Kang (NeurIPS, 2024)

Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws. - Taeyoung Kim; Myungjoo Kang (CoRR, 2024)

Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models. - Kyungsung Lee; Donggyu Lee; Myungjoo Kang (CoRR, 2024)

Neural Operators Learn the Local Physics of Magnetohydrodynamics. - Taeyoung Kim; Youngsoo Ha; Myungjoo Kang (CoRR, 2024)

Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering. - Hoin Jung; Hyunsoo Cho; Myungje Choi; Joowon Lee; Jung Ho Park; Myungjoo Kang (CoRR, 2024)

Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective. - Taeyoung Kim; Myungjoo Kang (CoRR, 2024)

Decomposition of one-layer neural networks via the infinite sum of reproducing kernel Banach spaces. - Seungcheol Shin; Myungjoo Kang (CoRR, 2024)

Beyond Derivative Pathology of PINNs: Variable Splitting Strategy with Convergence Analysis. - Yesom Park; Changhoon Song; Myungjoo Kang (CoRR, 2024)

Unsupervised Point Cloud Completion through Unbalanced Optimal Transport. - Taekyung Lee; Jaemoo Choi; Jaewoong Choi; Myungjoo Kang (CoRR, 2024)

Analysis of efficient preconditioner for solving Poisson equation with Dirichlet boundary condition in irregular three-dimensional domains. - Geonho Hwang; Yesom Park; Yueun Lee; Myungjoo Kang (J. Comput. Phys., 2024)

ReSDF: Redistancing implicit surfaces using neural networks. - Yesom Park; Changhoon Song; Jooyoung Hahn; Myungjoo Kang (J. Comput. Phys., 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Bounding the Rademacher complexity of Fourier neural operators. - Taeyoung Kim; Myungjoo Kang (Mach. Learn., 2024)

Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (Pattern Recognit., 2025)

Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph. - Geonho Hwang; Yesom Park; Yueun Lee; Jooyoung Hahn; Myungjoo Kang (CoRR, 2025)

MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions. - Suhwan Choi; Kyu Won Kim; Myungjoo Kang (CoRR, 2025)

Neural Shortest Path for Surface Reconstruction from Point Clouds. - Yesom Park; Imseong Park; Jooyoung Hahn; Myungjoo Kang (CoRR, 2025)

CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting. - Minhyuk Lee; Hyekyung Yoon; Myungjoo Kang (CoRR, 2025)

PointT2I: LLM-based text-to-image generation via keypoints. - Taekyung Lee; Donggyu Lee; Myungjoo Kang (CoRR, 2025)

Residual Connection-Enhanced ConvLSTM for Lithium Dendrite Growth Prediction. - Hosung Lee; Byeongoh Hwang; Dasan Kim; Myungjoo Kang (CoRR, 2025)

Divergence-Based Similarity Function for Multi-View Contrastive Learning. - Jaeheyoung Jeon; Cheolsu Lim; Myungjoo Kang (CoRR, 2025)

MINR: Implicit Neural Representations with Masked Image Modelling. - Sua Lee; Joonhun Lee; Myungjoo Kang (CoRR, 2025)