Jeong-Hyeon Moon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 7

Top Topics

Dimension Reduction

Unsupervised Learning

Feature Extractor

Anomaly Detection

Top Venues

Comput. Electr. Eng.

Multim. Tools Appl.

Publications

Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn
Decomposing texture and semantic for out-of-distribution detection. Expert Syst. Appl. 238 (Part A) (2024)
Seungmin Jang, Jeong-Hyeon Moon, So Yeon Kim, Kyung-Ah Sohn
CEAT: Curvature Feature Extractor Using Action Based Triplet Learning for Action Segmentation. IEEE Access 11 (2023)
Jun-Hyung Yu, Jeong-Hyeon Moon, Kyung-Ah Sohn
Attention-guided residual frame learning for video anomaly detection. Multim. Tools Appl. 82 (8) (2023)
Wooksu Shin, Namhyuk Ahn, Jeong-Hyeon Moon, Kyung-Ah Sohn
Exploiting Distortion Information for Multi-degraded Image Restoration. CVPR Workshops (2022)
Jeong-Hyeon Moon, Jun-Hyung Yu, Kyung-Ah Sohn
An ensemble approach to anomaly detection using high- and low-variance principal components. Comput. Electr. Eng. 99 (2022)
Junekyu Park, Jeong-Hyeon Moon, Namhyuk Ahn, Kyung-Ah Sohn
What is Wrong with One-Class Anomaly Detection? CoRR (2021)
Jeong-Hyeon Moon, Chae-Young Yun, Seon-Joo Park, Kyung-Ah Sohn
A Case Study on How to Predict Café Profit: A Dimension Reduction via Factor Analysis. MUE/FutureTech (2017)