Minhyeok Lee

Orcid: 0000-0003-2562-172X

According to our database1, Minhyeok Lee authored at least 70 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MetaSwin: a unified meta vision transformer model for medical image segmentation.
PeerJ Comput. Sci., 2024

Video Diffusion Models are Strong Video Inpainter.
CoRR, 2024

Improving Unsupervised Video Object Segmentation via Fake Flow Generation.
CoRR, 2024

Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View.
CoRR, 2024

SMURF: Continuous Dynamics for Motion-Deblurring Radiance Fields.
CoRR, 2024

Stabilized GAN models training with kernel-histogram transformation and probability mass function distance.
Appl. Soft Comput., 2024

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion.
IEEE Access, 2024

OrgUNETR: Utilizing Organ Information and Squeeze and Excitation Block for Improved Tumor Segmentation.
IEEE Access, 2024

ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Multi-Stage Deep Learning Approach Incorporating Text-Image and Image-Image Comparisons for Cheapfake Detection.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

PoolImagen: Text-to-Image Diffusion Models With an Efficient Transformer Without Attention.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

Enhanced Kidney Tumor Segmentation in CT Scans Using a Simplified UNETR with Organ Information.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

Referring Video Inpainting.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

Boundary-aware Camouflaged Object Detection via Deformable Point Sampling.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

Efficient Image Compression Through Differential Encoding of Super-Resolution Images.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

Real-time Semantic Segmentation with Bilateral Patch Attention.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024

Guided Slot Attention for Unsupervised Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Prototype Attention for Unsupervised Video Object Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ICEGAN: inverse covariance estimating generative adversarial network.
Mach. Learn. Sci. Technol., June, 2023

Multi-Task Deep Learning Games: Investigating Nash Equilibria and Convergence Properties.
Axioms, June, 2023

SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains.
Neural Networks, May, 2023

Portfolio optimization using predictive auxiliary classifier generative adversarial networks.
Eng. Appl. Artif. Intell., 2023

Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation.
CoRR, 2023

Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation.
CoRR, 2023

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

DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion.
CoRR, 2023

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

GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance.
CoRR, 2023

Portfolio Optimization using Predictive Auxiliary Classifier Generative Adversarial Networks with Measuring Uncertainty.
CoRR, 2023

Unsupervised Video Object Segmentation via Prototype Memory Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Adaptive Graph Convolution Module for Salient Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Two-Stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

FIDGAN: A Generative Adversarial Network with An Inception Distance.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2023

DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Continuous Conditional Generative Neural Radiance Field.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
HRGAN: A Generative Adversarial Network Producing Higher-Resolution Images than Training Sets.
Sensors, 2022

Inverse design of nanophotonic devices using generative adversarial networks.
Eng. Appl. Artif. Intell., 2022

Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition.
CoRR, 2022

Global-Local Aggregation with Deformable Point Sampling for Camouflaged Object Detection.
CoRR, 2022

Deblurred Neural Radiance Field with Physical Scene Priors.
CoRR, 2022

Domain Alignment and Temporal Aggregation for Unsupervised Video Object Segmentation.
CoRR, 2022

Pixel-Level Equalized Matching for Video Object Segmentation.
CoRR, 2022

Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition.
CoRR, 2022

RandomSEMO: Normality Learning Of Moving Objects For Video Anomaly Detection.
CoRR, 2022

Score-Guided Generative Adversarial Networks.
Axioms, 2022

Deep reinforcement learning with a critic-value-based branch tree for the inverse design of two-dimensional optical devices.
Appl. Soft Comput., 2022

FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Robust Lane Detection via Expanded Self Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

EdgeConv with Attention Module for Monocular Depth Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Saliency Detection via Global Context Enhanced Feature Fusion and Edge Weighted Loss.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Superpixel Group-Correlation Network for Co-Saliency Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Tackling Background Distraction in Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Estimation with Uncertainty via Conditional Generative Adversarial Networks.
Sensors, 2021

Regularization Strategy for Point Cloud via Rigidly Mixed Sample.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Improved recurrent generative adversarial networks with regularization techniques and a controllable framework.
Inf. Sci., 2020

Portfolio management via two-stage deep learning with a joint cost.
Expert Syst. Appl., 2020

Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies.
CoRR, 2020

Long Term Traffic Prediction in Highway Using Parallel CNN.
Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 2020

2019
Regression-Based Network Estimation for High-Dimensional Genetic Data.
J. Comput. Biol., 2019

Prediction of survival risks with adjusted gene expression through risk-gene networks.
Bioinform., 2019

Controllable Generative Adversarial Network.
IEEE Access, 2019

Stock Price Prediction Through the Sentimental Analysis of News Articles.
Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, 2019

2017
A Comparison of Two-Stage Approaches Based on Penalized Regression for Estimating Gene Networks.
J. Comput. Biol., 2017

2015
Groove depth determination based on extended leakage factor in a 12-slot 10-pole machine.
Proceedings of the IEEE International Conference on Mechatronics, 2015


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