YeongHyeon Park

According to our database, YeongHyeon Park authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Scene Depth Estimation from Traditional Oriental Landscape Paintings.

Sungho Kang, YeongHyeon Park, Hyunkyu Park, Juneho Yi

CoRR, 2024

Empirical Analysis of Anomaly Detection on Hyperspectral Imaging Using Dimension Reduction Methods.

Dongeon Kim, YeongHyeon Park

CoRR, 2024

Enhancing Defective Solar Panel Detection with Attention-Guided Statistical Features Using Pre-Trained Neural Networks.

Hanbyul Lee, YeongHyeon Park, Juneho Yi

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

2023

Excision and Recovery: Enhancing Surface Anomaly Detection with Attention-based Single Deterministic Masking.

YeongHyeon Park, Sungho Kang, Myung Jin Kim, Yeonho Lee, Juneho Yi

CoRR, 2023

Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification.

YeongHyeon Park, Sungho Kang, Myung Jin Kim, Hyeonho Jeong, Hyunkyu Park, Hyeong-Seok Kim, Juneho Yi

CoRR, 2023

Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection.

YeongHyeon Park, UJu Gim, Myung Jin Kim

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

Unsupervised Image-to-Image Translation Based on Bidirectional Style Transfer.

Hyunkyu Park, Sungho Kang, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, Juneho Yi

Proceedings of the 6th IEEE International Conference on Knowledge Innovation and Invention, 2023

Exploiting Monocular Depth Estimation for Style Harmonization in Landscape Painting.

Sungho Kang, Hyunkyu Park, YeongHyeon Park, Yeonho Lee, Hanbyul Lee, Seho Bae, Juneho Yi

Proceedings of the 6th IEEE International Conference on Knowledge Innovation and Invention, 2023

Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance.

YeongHyeon Park, Myung Jin Kim, Won Seok Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model.

YeongHyeon Park

CoRR, 2022

Latent Vector Expansion using Autoencoder for Anomaly Detection.

UJu Gim, YeongHyeon Park

CoRR, 2022

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

Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection.

YeongHyeon Park, JongHee Jung

CoRR, 2021

Anomaly Detection Based on Multiple-Hypothesis Autoencoder.

JoonSung Lee, YeongHyeon Park

CoRR, 2021

Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability.

YeongHyeon Park, JoonSung Lee, Wonseok Park

CoRR, 2021

Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise.

YeongHyeon Park, JongHee Jung

CoRR, 2021

2019

The CNN-based Coronary Occlusion Site Localization with Effective Preprocessing Method.

YeongHyeon Park, Il Dong Yun, Si-Hyuck Kang

CoRR, 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

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

2018

Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine.

YeongHyeon Park, Il Dong Yun

Sensors, 2018

Comparison of RNN Encoder-Decoder Models for Anomaly Detection.

YeongHyeon Park, Il Dong Yun

CoRR, 2018