Groove depth determination based on extended leakage factor in a 12-slot 10-pole machine. - Bonkil Koo; Minhyeok Lee; Kwanghee Nam (ICM, 2015)

A Comparison of Two-Stage Approaches Based on Penalized Regression for Estimating Gene Networks. - Minhyeok Lee; Junhee Seok; Donghyun Tae; Hua Zhong; Sung Won Han (J. Comput. Biol., 2017)

Stock Price Prediction Through the Sentimental Analysis of News Articles. - Jaeyoon Kim; Jangwon Seo; Minhyeok Lee; Junhee Seok (ICUFN, 2019)

Controllable Generative Adversarial Network. - Minhyeok Lee; Junhee Seok (IEEE Access, 2019)

Prediction of survival risks with adjusted gene expression through risk-gene networks. - Minhyeok Lee; Sung Won Han; Junhee Seok (Bioinform., 2019)

Regression-Based Network Estimation for High-Dimensional Genetic Data. - Kyu Min Lee; Minhyeok Lee; Junhee Seok; Sung Won Han (J. Comput. Biol., 2019)

Long Term Traffic Prediction in Highway Using Parallel CNN. - Donghyun Lim; Minhyeok Lee; Junhee Seok (ICITE, 2020)

Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies. - Minhyeok Lee; Junhee Seok (CoRR, 2020)

Portfolio management via two-stage deep learning with a joint cost. - Hyungbin Yun; Minhyeok Lee; Yeong Seon Kang; Junhee Seok (Expert Syst. Appl., 2020)

Improved recurrent generative adversarial networks with regularization techniques and a controllable framework. - Minhyeok Lee; Donghyun Tae; Jae Hun Choi; Ho-Youl Jung; Junhee Seok (Inf. Sci., 2020)

Regularization Strategy for Point Cloud via Rigidly Mixed Sample. - Dogyoon Lee; Jaeha Lee; Junhyeop Lee; Hyeongmin Lee; Minhyeok Lee; Sungmin Woo; Sangyoun Lee (CVPR, 2021)

Estimation with Uncertainty via Conditional Generative Adversarial Networks. - Minhyeok Lee; Junhee Seok (Sensors, 2021)

Tackling Background Distraction in Video Object Segmentation. - Suhwan Cho; Heansung Lee 001; Minhyeok Lee; Chaewon Park; Sungjun Jang; Minjung Kim 002; Sangyoun Lee (ECCV (22), 2022)

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection. - Minhyeok Lee; Chaewon Park; Suhwan Cho; Sangyoun Lee (ECCV (29), 2022)

Superpixel Group-Correlation Network for Co-Saliency Detection. - Minhyeok Lee; Chaewon Park; Suhwan Cho; Sangyoun Lee (ICIP, 2022)

Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss. - Chaewon Park; Minhyeok Lee; MyeongAh Cho; Sangyoun Lee (ICIP, 2022)

Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing. - Soojeong Kim; Minhyeok Lee; Junhee Seok (ICUFN, 2022)

EdgeConv with Attention Module for Monocular Depth Estimation. - Minhyeok Lee; Sangwon Hwang; Chaewon Park; Sangyoun Lee (WACV, 2022)

Robust Lane Detection via Expanded Self Attention. - Minhyeok Lee; Junhyeop Lee; Dogyoon Lee; Woo Jin Kim; Sangwon Hwang; Sangyoun Lee (WACV, 2022)

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation. - Chaewon Park; MyeongAh Cho; Minhyeok Lee; Sangyoun Lee (WACV, 2022)

Deep reinforcement learning with a critic-value-based branch tree for the inverse design of two-dimensional optical devices. - Hyo-Seok Hwang; Minhyeok Lee; Junhee Seok (Appl. Soft Comput., 2022)

Score-Guided Generative Adversarial Networks. - Minhyeok Lee; Junhee Seok (Axioms, 2022)

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection. - Chaewon Park; Minhyeok Lee; MyeongAh Cho; Sangyoun Lee (CoRR, 2022)

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition. - Jungho Lee; Minhyeok Lee; Dogyoon Lee; Sangyoon Lee (CoRR, 2022)

Pixel-Level Equalized Matching for Video Object Segmentation. - Suhwan Cho; Woo Jin Kim; MyeongAh Cho; Seunghoon Lee 008; Minhyeok Lee; Chaewon Park; Sangyoun Lee (CoRR, 2022)

Domain Alignment and Temporal Aggregation for Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Seunghoon Lee 008; Sangyoun Lee (CoRR, 2022)

Deblurred Neural Radiance Field with Physical Scene Priors. - Dogyoon Lee; Minhyeok Lee; Chajin Shin; Sangyoun Lee (CoRR, 2022)

Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection. - Minhyeok Lee; Suhwan Cho; Chaewon Park; Dogyoon Lee; Jungho Lee; Sangyoun Lee (CoRR, 2022)

Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition. - Jungho Lee; Minhyeok Lee; Suhwan Cho; Sungmin Woo; Sangyoun Lee (CoRR, 2022)

Inverse design of nanophotonic devices using generative adversarial networks. - Wonsuk Kim; Soojeong Kim; Minhyeok Lee; Junhee Seok (Eng. Appl. Artif. Intell., 2022)

HRGAN: A Generative Adversarial Network Producing Higher-Resolution Images than Training Sets. - Minyoung Park; Minhyeok Lee; Sungwook Yu (Sensors, 2022)

Class-Continuous Conditional Generative Neural Radiance Field. - Jiwook Kim; Minhyeok Lee (BMVC, 2023)

DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors. - Dogyoon Lee; Minhyeok Lee; Chajin Shin; Sangyoun Lee (CVPR, 2023)

FIDGAN: A Generative Adversarial Network with An Inception Distance. - Jina Lee; Minhyeok Lee (ICAIIC, 2023)

Two-Stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection. - Chaewon Park; Minhyeok Lee; Suhwan Cho; Donghyeong Kim; Sangyoun Lee (ICASSP, 2023)

Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition. - Jungho Lee; Minhyeok Lee; Suhwan Cho; Sungmin Woo; Sungjun Jang; Sangyoun Lee (ICCV, 2023)

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition. - Jungho Lee; Minhyeok Lee; Dogyoon Lee; Sangyoun Lee (ICCV, 2023)

Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation. - Seunghoon Lee 008; Suhwan Cho; Dogyoon Lee; Minhyeok Lee; Sangyoun Lee (ICIP, 2023)

Adaptive Graph Convolution Module for Salient Object Detection. - Yongwoo Lee; Minhyeok Lee; Suhwan Cho; Sangyoun Lee (ICIP, 2023)

Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Seunghoon Lee 008; Chaewon Park; Donghyeong Kim; Sangyoun Lee (WACV, 2023)

Unsupervised Video Object Segmentation via Prototype Memory Network. - Minhyeok Lee; Suhwan Cho; Seunghoon Lee 008; Chaewon Park; Sangyoun Lee (WACV, 2023)

Portfolio Optimization using Predictive Auxiliary Classifier Generative Adversarial Networks with Measuring Uncertainty. - Jiwook Kim; Minhyeok Lee (CoRR, 2023)

GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance. - Minhyeok Lee (CoRR, 2023)

Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning. - Minhyeok Lee (CoRR, 2023)

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion. - Taesun Yeom; Minhyeok Lee (CoRR, 2023)

On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models - A Perspective. - Minhyeok Lee (CoRR, 2023)

Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Jungho Lee; MyeongAh Cho; Sangyoun Lee (CoRR, 2023)

Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation. - Minhyeok Lee; Dogyoon Lee; Jungho Lee; Suhwan Cho; Heeseung Choi; Ig-Jae Kim; Sangyoun Lee (CoRR, 2023)

Portfolio optimization using predictive auxiliary classifier generative adversarial networks. - Jiwook Kim; Minhyeok Lee (Eng. Appl. Artif. Intell., 2023)

SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains. - Kanghyeok Ko; Taesun Yeom; Minhyeok Lee (Neural Networks, 2023)

Multi-Task Deep Learning Games: Investigating Nash Equilibria and Convergence Properties. - Minhyeok Lee (Axioms, 2023)

ICEGAN: inverse covariance estimating generative adversarial network. - Insoo Kim; Minhyeok Lee; Junhee Seok (Mach. Learn. Sci. Technol., 2023)

Dual Prototype Attention for Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Seunghoon Lee 008; Dogyoon Lee; Heeseung Choi; Ig-Jae Kim; Sangyoun Lee (CVPR, 2024)

Guided Slot Attention for Unsupervised Video Object Segmentation. - Minhyeok Lee; Suhwan Cho; Dogyoon Lee; Chaewon Park; Jungho Lee; Sangyoun Lee (CVPR, 2024)

Real-time Semantic Segmentation with Bilateral Patch Attention. - Minseok Kang; Minhyeok Lee; Sangyoun Lee (ICEIC, 2024)

Efficient Image Compression Through Differential Encoding of Super-Resolution Images. - YongHwan Kim; Minhyeok Lee; Jungho Lee; Sangyoun Lee (ICEIC, 2024)

Boundary-aware Camouflaged Object Detection via Deformable Point Sampling. - Minhyeok Lee; Suhwan Cho; Chaewon Park; Dogyoon Lee; Jungho Lee; Sangyoun Lee (ICEIC, 2024)

Referring Video Inpainting. - Minhyeok Lee; Minseok Kang; Sangyoun Lee (ICEIC, 2024)

Enhanced Kidney Tumor Segmentation in CT Scans Using a Simplified UNETR with Organ Information. - Sanghyuk Roy Choi; Kanghyeok Ko; Sun Jae Baek; Soyeon Lee; Jungro Lee; Minhyeok Lee (ICAIIC, 2024)

PoolImagen: Text-to-Image Diffusion Models With an Efficient Transformer Without Attention. - Hyeeun Ku; Minhyeok Lee; Kanghyeok Ko; Sun Jae Baek (ICAIIC, 2024)

A Multi-Stage Deep Learning Approach Incorporating Text-Image and Image-Image Comparisons for Cheapfake Detection. - Jangwon Seo; Hyo-Seok Hwang; Jiyoung Lee; Minhyeok Lee; Wonsuk Kim; Junhee Seok (ICMR, 2024)

ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields. - Kanghyeok Ko; Minhyeok Lee (WACV, 2024)

OrgUNETR: Utilizing Organ Information and Squeeze and Excitation Block for Improved Tumor Segmentation. - Sanghyuk Roy Choi; Jungro Lee; Minhyeok Lee (IEEE Access, 2024)

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion. - Taesun Yeom; Chanhoe Gu; Minhyeok Lee (IEEE Access, 2024)

Stabilized GAN models training with kernel-histogram transformation and probability mass function distance. - Jangwon Seo; Hyo-Seok Hwang; Minhyeok Lee; Junhee Seok (Appl. Soft Comput., 2024)

SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields. - Jungho Lee; Dogyoon Lee; Minhyeok Lee; Donghyung Kim; Sangyoun Lee (CoRR, 2024)

Improving Unsupervised Video Object Segmentation via Fake Flow Generation. - Suhwan Cho; Minhyeok Lee; Jungho Lee; Donghyeong Kim; Seunghoon Lee 008; Sungmin Woo; Sangyoun Lee (CoRR, 2024)

Transforming Static Images Using Generative Models for Video Salient Object Detection. - Suhwan Cho; Minhyeok Lee; Jungho Lee; Sangyoun Lee (CoRR, 2024)

Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models. - Minhyeok Lee (CoRR, 2024)

STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation. - Sunghun Yang; Minhyeok Lee; Suhwan Cho; Jungho Lee; Sangyoun Lee (CoRR, 2024)

Does Low Spoilage Under Cold Conditions Foster Cultural Complexity During the Foraging Era? - A Theoretical and Computational Inquiry. - Minhyeok Lee (CoRR, 2024)

Is Polarization an Inevitable Outcome of Similarity-Based Content Recommendations? - Mathematical Proofs and Computational Validation. - Minhyeok Lee (CoRR, 2024)

MetaSwin: a unified meta vision transformer model for medical image segmentation. - Soyeon Lee; Minhyeok Lee (PeerJ Comput. Sci., 2024)

Video Diffusion Models Are Strong Video Inpainter. - Minhyeok Lee; Suhwan Cho; Chajin Shin; Jungho Lee; Sunghun Yang; Sangyoun Lee (AAAI, 2025)

CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images. - Jungho Lee; Suhwan Cho; Taeoh Kim; Ho-Deok Jang; Minhyeok Lee; Geonho Cha; Dongyoon Wee; Dogyoon Lee; Sangyoun Lee (CVPR, 2025)

Effective SAM Combination for Open-Vocabulary Semantic Segmentation. - Minhyeok Lee; Suhwan Cho; Jungho Lee; Sunghun Yang; Heeseung Choi; Ig-Jae Kim; Sangyoun Lee (CVPR, 2025)

Rendering 3D CT Scans through 3D Gaussian Splatting Initialized with Points Sampled by Cube-Based Neural Radiance Fields. - Sanghyuk Roy Choi; Chanhoe Gu; Sun Jae Baek; Minhyeok Lee (ICAIIC, 2025)

Phase Current Equalization Method of IPMSM-Based on-Board Boost Converter for Electric Vehicles. - Yunkyung Hwang; Jaehong Kim 004; Minhyeok Lee; Juwon Choi; Kwanghee Nam (IEEE Access, 2025)

Zero-Shot 3D Scene Representation With Invertible Generative Neural Radiance Fields. - Kanghyeok Ko; Sungyup Kim; Minhyeok Lee (IEEE Access, 2025)

Recent advances in the inverse design of silicon photonic devices and related platforms using deep generative models. - Sun Jae Baek; Minhyeok Lee (PeerJ Comput. Sci., 2025)

Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation. - Suhwan Cho; Seunghoon Lee; Minhyeok Lee; Jungho Lee; Sangyoun Lee (CoRR, 2025)

CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images. - Jungho Lee; Donghyeong Kim; Dogyoon Lee; Suhwan Cho; Minhyeok Lee; Wonjoon Lee; Taeoh Kim; Dongyoon Wee; Sangyoun Lee (CoRR, 2025)

TransFlow: Motion Knowledge Transfer from Video Diffusion Models to Video Salient Object Detection. - Suhwan Cho; Minhyeok Lee; Jungho Lee; Sunghun Yang; Sangyoun Lee (CoRR, 2025)

DepthFlow: Exploiting Depth-Flow Structural Correlations for Unsupervised Video Object Segmentation. - Suhwan Cho; Minhyeok Lee; Jungho Lee; Donghyeong Kim; Sangyoun Lee (CoRR, 2025)

Sparse-DeRF: Deblurred Neural Radiance Fields From Sparse View. - Dogyoon Lee; Donghyeong Kim; Jungho Lee; Minhyeok Lee; Seunghoon Lee 008; Sangyoun Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2025)