Jeong-Hyeon Moon

According to our database, Jeong-Hyeon Moon authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction.

Jeong-Hyeon Moon, Garam Lee, Seung Mi Lee, Jiho Ryu, Dokyoon Kim, Kyung-Ah Sohn

IEEE J. Biomed. Health Informatics, October, 2024

Decomposing texture and semantic for out-of-distribution detection.

Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn

Expert Syst. Appl., March, 2024

2023

Attention-guided residual frame learning for video anomaly detection.

Jun-Hyung Yu, Jeong-Hyeon Moon, Kyung-Ah Sohn

Multim. Tools Appl., March, 2023

CEAT: Curvature Feature Extractor Using Action Based Triplet Learning for Action Segmentation.

Seungmin Jang, Jeong-Hyeon Moon, So Yeon Kim, Kyung-Ah Sohn

IEEE Access, 2023

2022

An ensemble approach to anomaly detection using high- and low-variance principal components.

Jeong-Hyeon Moon, Jun-Hyung Yu, Kyung-Ah Sohn

Comput. Electr. Eng., 2022

Exploiting Distortion Information for Multi-degraded Image Restoration.

Wooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, Kyung-Ah Sohn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

What is Wrong with One-Class Anomaly Detection?

Junekyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn

CoRR, 2021

2017

A Case Study on How to Predict Café Profit: A Dimension Reduction via Factor Analysis.

Jeong-Hyeon Moon, Chae-Young Yun, Seon-Joo Park, Kyung-Ah Sohn

Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2017