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

[Paper] 

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

[Paper]