DaeYong Kim

DaeYong Kim

Hi, I'm DaeYong Kim. I'm a MS student at Ajou University, advised by Prof. Ri Yu. I am interested in computer vision, image processing, and computer graphics. Currently, I am focusing on human motion research within computer graphics, particularly on video-based human pose estimation and motion generation using generative models.

contact: so155s@ajou.ac.kr

Updates

  • Sep 2024: Our paper accepted to International Congress of Parkinson's Disease and Movement Disorders
  • Jan 2023: Joined Computer Graphics Labs as a undergraduate research intern
  • Jul 2022: Joined Visual Computing Labs as a undergraduate research intern

Educations

  • 2023 - Present: M.S. in Computer Science, Ajou University
  • 2019 - 2023: B.S. in Computer Science, Ajou University

Experiments

  • 2025 SpringF104 Computer Graphics TA
  • 2024 FallF071 Object-Oriented Programming and Practice
  • 2024 SpringF068 Computer Graphics TA

Publications

  • The novel Gait Cycle Detection Network (GCDN) for Video based gait Analysis based on single 2D RGB video
    The novel Gait Cycle Detection Network (GCDN) for Video based gait Analysis based on single 2D RGB video
    DaeYong Kim, YeonSu Lee, YuKyeom Kim, JungHwan Shin, Clint Hansen, Walter Maetzler, and Ri Yu
    International Congress of Parkinson's Disease and Movement Disorders (2024)
    Project | Paper | Code

Projects

📌 Implemented median filtering, noise reduction, and boundary filling techniques.

📌 Developed multiband blending, coin counting, and image stitching algorithms.

📌 Developed multiband blending, coin counting, and image stitching algorithms.

📌 Designed and developed an animal-themed version of the Quoridor board game.

📌 A utility library for preprocessing joint positions in videos.

📌 Reclassified OpenPose 2D joint indices using YOLOv8n for improved accuracy.

Coming Soon 🚀

다음 프로젝트 준비 중...

Seminars