Scholar
Youngkil Song
Google Scholar ID: s6XYYUMAAAAJ
POSTECH
Citations & Impact
Citations
11
H-index
2
i10-index
0
Publications
3
Co-authors
3
list available
Resume (English only)
Academic Achievements
- 1. One paper on sound source localization accepted to CVPR 2025.
- 2. Two papers on online temporal localization and group action detection accepted to ECCV 2024.
Research Experience
- Working as a member of the Computer Vision Lab at POSTECH, involved in various research projects.
Education
- Integrated M.S & Ph.D. student in the graduate school of artificial intelligence at POSTECH, advised by Prof. Suha Kwak.
Background
- Ph.D. student in the Computer Vision Lab at POSTECH, with research interests in computer vision and deep learning, including video understanding, localization, and its applications.
