Min Gyu LEE Homepage
Ph.D Student,
Visual Intelligence Lab. (VILab) [Google Scholar]
Department of Advanced Imaging, Chung-Ang University
305-801, 84, Heukseok-ro 5-gil, Dongjak-gu, Seoul, Republic of Korea
Email : mglee@vilab.cau.ac.kr, cinchon82@gmail.com
Experience
2023- VisionAI in LGCNS
2020-2023 Cloud Infrastructure engineer in LGCNS
2017-2019 Renewal Energy Business Development in LGCNS
2011-2016 Convergence Enginneer at SmartCity, Buildings in LGCNS
2008-2010 Urban Engineering in Yonsei University (Master's Degree)
Research Interest
Image Data Augmentation
Industrial Anomaly Detection
Multi-modal Learning (T2I)
Project
[2024.01~ ] Verification of vehicle manufacturer’s design generation method
Honors & Awards
Grand Prize on A.I idea competition, LGCNS, 2020
Patent
Architectural decorative material design work system and method, 2020
Publications
International
Text-guided Variational Image Generation Method for Industrial Anomaly Detection and Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Arxiv] [Github]
CAA: Category-specific Augmentation Search Using Attentional Interpolation for Unsupervised Domain Adaptation, 2024 (ECAI~ing).
Text guided Image Generation Method, 2024 (~ing, Journal).
Domestic
An analysis of the level of importance by design element of urban waterfront eco parks,
Urban design Institute, 2011, 430(9Page)
A Comparative Study on Preferences and Uses of the Welfare Facilities Annexed to the Apartment Housing Complex,
Urban design Institute, 2009, 126(11Page)
The Study of Satisfaction and Perception in Public Facility Remodeling ,
Korea Planning association 2008, 445(8Page)