신승준 (Shin, Seungjun)
Program : Master of Science
Program : Master of Science
Research Part : Construction Simulation, Synthetic Data
Conference Participation
KICEM(한국건설관리학회) 2024 , AIK(대한건축학회) 2025 춘계학술대회, KIC(한국건축시공학회) 2025 춘계학술대회
Conference Paper
KICEM 2024, "A Study on the Relationship Between the Reality of Synthetic Data for Computer Vision Training and Object Detection Performance "
AIK 2025, "Generation of Synthetic Images for Construction Computer Vision Training Using 3D
Rendering and Real Hybrid Datasets"
I am currently pursuing a Master’s degree in Architectural Engineering at Chung-Ang University, where I have been actively involved in research at the HCT Lab under the guidance of Professor Dongmin Lee since April 2024. My research focuses on Synthetic Data Generation (SDG) for Computer Vision Learning in Construction Sites, with the aim of enhancing the accuracy and efficiency of vision-based systems in the construction industry.
By leveraging advanced simulation tools and synthetic data techniques, my work seeks to address challenges related to safety monitoring, productivity analysis, and automation in construction environments. I am particularly interested in exploring how synthetic data can bridge the gap between real-world complexity and the training needs of state-of-the-art computer vision models.
I am always open to discussions and collaborations related to my field of research. If you are interested in learning more or exploring potential research opportunities, please feel free to reach out to me via email or Instagram.
E-mail : ssj00628@cau.ac.kr
NOVEMBER 07th - 8th 2024
AIK 2025 _ Seoul
"Generation of Synthetic Images for Construction Computer Vision Training Using 3D
Rendering and Real Hybrid Datasets"
NOVEMBER 07th - 8th 2024
KICEM 2024 _ JEJU
"A Study on the Relationship Between the Reality of Synthetic Data for Computer Vision Training and Object Detection Performance"
- Using Unity and Unreal Engine for the synthesis of safety hook images -
Jun 07th - 14th 2024
CAU Architecture Exibition _Boundless