About Me

I am currently a PhD student at Jeonbuk National University, advised by Prof. Sang Jun Lee. My research is centered on advancing vision-based defect inspection for industrial applications. Recognizing the critical challenge of limited training data in these settings, my work specifically explores the use of generative models, such as diffusion models, for robust data augmentation. 

Ultimately, I aim to develop AI models that are not only academically novel but also directly translatable into deployable, high-impact solutions for real-world industry challenges. 

ADBM: Adversarial Diffusion Bridge Model for Denoising of 3D Point Cloud Data(paper accepted)

Sensors, 2025

Changwoo Nam, Sang Jun Lee

Steel Surface Detection Based on Conditional Diffusion Model and Dual-decoder Architecture 

Proc. of the 25th International Conference on Control, Automation and Systems (ICCAS), 2025

HyeongSeop Lim, Changwoo Nam, Sang Jun Lee

Elevator button detection by filtering objects in mirror regions

Proc. of the 24th International Conference on Control, Automation and Systems (ICCAS) 

Yonggil Kwon, Changwoo Nam, Sang Jun Lee

확산 모델을 이용한 철강 표면 결함 데이터 증강기술

2024 대한임베디드공학회 추계학술대회 

남창우, 이상준

적외선 영상기반 음주상태 인식을 위한 딥러닝 기술(우수논문발표상) 

The 19th IeMeK Symposium on Embedded Technology (ISET2024) 

남창우, 황규태, 이상준

작물 수확 자동화를 위한 시각 언어 모델 기반의 환경적응형 과수 검출 기술  

IEMEK Journal of Embedded Systems and Applications, 2024 

남창우, 송지민, 진용식, 이상준

작물 수확 자동화를 위한 환경적응형 과수 검출 알고리즘(우수논문상) 

2023 대한임베디드공학회 추계학술대회 

남창우, 송지민, 진용식, 이상준