Minseok Kong
| My current research interests lie in deep learning and computer vision. I’ve researched unsupervised learning and semantic segmentation. |
Education
|
Sogang University (SGU)
M.S. in Computer Science and Engineering - Advised by Prof. Jungmin So. |
Seoul, South Korea Feb 2022 - Aug 2024 |
|
University of Toronto (UofT)
M.S. in the Faculty of Applied Science and Engineering - IITP Applied AI Program |
Toronto, Canada Jan 2024 - Jun 2024 |
|
Sogang University (SGU)
B.S. in Economics and Bigdata Science |
Seoul, South Korea Feb 2014 - Feb 2022 |
Publications
|
Empirical Analysis of Automated Stock Trading Using Deep Reinforcement Learning Minseok Kong and Jungmin So MDPI Applied Sciences, 2023 |
Projects
|
Efficient Human Detection Leveraging YOLOv8 Nano on ROS: A Comparative Study of RGB-D and RGB Cameras January 2024 – June 2024 |
Implementation and optimization of two ROS packages for efficient human detection using RGB and RGB-D cameras, including a comparative analysis of their setups for depth estimation and object detection, and model optimization for low CPU usage through conversion and quantization techniques. |
|
Real-time Motorcycle Tracking Leveraging YOLOv7 on Jetson Nano September 2022 – December 2022 |
By leveraging YOLOv7 to an embedded system (NVIDIA Jetson Nano), tracking motorcycles on the road in real-time. |