Youngwan Lee
Research Scientist at ETRI
South Korea
Summary
👤
Senior🎓
Top SchoolYoungwan Lee is a research scientist at ETRI and a Ph.D. candidate in AI at KAIST with 10 years of experience focused on how machines perceive the world. He specializes in efficient 2D/3D neural network design and core computer vision tasks including object detection, instance and semantic segmentation, and video classification. Based in South Korea, he combines applied lab research with academic rigor under Prof. Sung Ju Hwang in the MLAI lab. His work emphasizes practical efficiency—designing models that balance accuracy with computational constraints for real-world deployment. Beyond papers, he maintains a public research portfolio that showcases reproducible implementations and engineering-focused contributions.
10 years of coding experience
석사, 정보통신공학과, 석사, 정보통신공학과 at 인하대학교Ph.D Candidate, AI, Ph.D Candidate, AI at 한국과학기술원(KAIST)
English
Github Skills (113)
face-recognition10
object-detection10
computer-vision10
face-detection10
text-recognition10
segmentation10
visual-recognition10
modular9
caffe9
video-understanding9
detectron9
multibox9
mask9
api9
coco9
Programming languages (6)
Github contributions (5)
youngwanLEE/vovnet-detectron2
Jan 2020 - Dec 2021
Contributions:21 commits, 18 pushes, 1 branch in 1 year 11 months
youngwanLEE/VoV3D
Dec 2020 - Apr 2021
Contributions:6 commits, 5 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.