CV | Github | Google scholar
seyoung[at] jbnu.ac.kr
CV | Github | Google scholar
seyoung[at] jbnu.ac.kr
About Me
I am currently a Master’s student at Jeonbuk National University, advised by Prof. Sang Jun Lee.
My research focuses on developing vision systems for defect and anomaly detection in industrial environments, with an emphasis on building robust deep learning models that can handle real-world challenges.
Recently, I have been studying unsupervised multimodal anomaly detection in manufacturing settings.
TAG-Net: Triple Attention Guided Network for Inspecting Surface De fects on Steel Products
International Journal of Control, Automation, and Systems, 2025
Seyoung Jeong, Jimin Song, Sang Jun Lee
Attention Guided Deep Neural Network for Inspection of Surface Defects on Steel Products
In Proceeding of the 24th International Conference on Control, Automation and Systems (ICCAS), 2024
Seyoung Jeong, Jimin Song, Sang Jun Lee
한국연구재단 이공분야 학술연구지원사업 (석사과정생연구장려금), 2025.09~2026.08