Comparison of RNN Encoder-Decoder Models for Anomaly Detection. - YeongHyeon Park; Il Dong Yun (CoRR, 2018)

Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine. - YeongHyeon Park; Il Dong Yun (Sensors, 2018)

Preprocessing Method for Performance Enhancement in CNN-Based STEMI Detection From 12-Lead ECG. - YeongHyeon Park; Il Dong Yun; Si-Hyuck Kang (IEEE Access, 2019)

Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network. - YeongHyeon Park; Won Seok Park; Yeong Beom Kim; Seok Woong Chang (CoRR, 2019)

The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method. - YeongHyeon Park; Il Dong Yun; Si-Hyuck Kang (CoRR, 2019)

Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise. - YeongHyeon Park; JongHee Jung (CoRR, 2021)

Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability. - YeongHyeon Park; JoonSung Lee; Wonseok Park (CoRR, 2021)

Anomaly Detection Based on Multiple-Hypothesis Autoencoder. - JoonSung Lee; YeongHyeon Park (CoRR, 2021)

Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection. - YeongHyeon Park; JongHee Jung (CoRR, 2021)

Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection. - YeongHyeon Park; JoonSung Lee; Myung Jin Kim; Wonseok Park (CoRR, 2021)

Latent Vector Expansion using Autoencoder for Anomaly Detection. - UJu Gim; YeongHyeon Park (CoRR, 2022)

Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model. - YeongHyeon Park (CoRR, 2022)

Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance. - YeongHyeon Park; Myung Jin Kim; Won Seok Park (BigComp, 2023)

Exploiting Monocular Depth Estimation for Style Harmonization in Landscape Painting. - Sungho Kang 002; Hyunkyu Park 003; YeongHyeon Park; Yeonho Lee 001; Hanbyul Lee 002; Seho Bae; Juneho Yi (ICKII, 2023)

Unsupervised Image-to-Image Translation Based on Bidirectional Style Transfer. - Hyunkyu Park 003; Sungho Kang 002; YeongHyeon Park; Yeonho Lee 001; Hanbyul Lee 002; Seho Bae; Juneho Yi (ICKII, 2023)

Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection. - YeongHyeon Park; UJu Gim; Myung Jin Kim (ICTC, 2023)

Excision and Recovery: Enhancing Surface Anomaly Detection with Attention-based Single Deterministic Masking. - YeongHyeon Park; Sungho Kang 002; Myung Jin Kim; Yeonho Lee 001; Juneho Yi (CoRR, 2023)

Enhancing Defective Solar Panel Detection with Attention-Guided Statistical Features Using Pre-Trained Neural Networks. - Hanbyul Lee 002; YeongHyeon Park; Juneho Yi (BigComp, 2024)

Neural Network Training Strategy To Enhance Anomaly Detection Performance: A Perspective On Reconstruction Loss Amplification. - YeongHyeon Park; Sungho Kang 002; Myung Jin Kim; Hyeonho Jeong; Hyunkyu Park 003; Hyeong-Seok Kim; Juneho Yi (ICASSP, 2024)

Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods. - Dongeon Kim; YeongHyeon Park (CoRR, 2024)

Scene Depth Estimation from Traditional Oriental Landscape Paintings. - Sungho Kang 002; YeongHyeon Park; Hyunkyu Park 003; Juneho Yi (CoRR, 2024)

Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection. - YeongHyeon Park; Sungho Kang 002; Myung Jin Kim; Hyeong-Seok Kim; Juneho Yi (CoRR, 2024)

Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection. - YeongHyeon Park; Sungho Kang 002; Myung Jin Kim; Hyeong Seok Kim; Juneho Yi (CVPR Workshops, 2025)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection. - YeongHyeon Park; Myung Jin Kim; Hyeong Seok Kim (ISBI, 2025)