Myeongjun Kim
Computer Vision Research Engineer at Deeping Source Inc.
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolMyeongjun Kim is a computer vision research engineer with nine years of experience applying deep learning to action recognition and real-time vision systems. He holds a master's in Computer Software Engineering from POSTECH and has contributed published work at WACV and ICIP on spatio-temporal attention and atrous architectures for efficient action recognition. Myeongjun has industry experience at DeepingSource and Spacewalk and a track record of internships at Purdue and Samsung R&D where he implemented layered human–agent interaction models and production-facing language analysis features. He combines academic rigor with practical engineering—building embedded measurement and control systems on Raspberry Pi during earlier projects—and focuses on making state-of-the-art models run in real-time. Based in Seoul, he brings both research depth and hands-on product experience across prototype to deployment stages.
9 years of coding experience
Kyungpook National UniversityMaster's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at 포항공과대학교Computer Science Engineering, Computer Science Engineering at 경북대학교
Github Skills (44)
pytorch10
cifar10010
imagenet10
image-recognition10
action-localization10
self-attention10
video-understanding9
semi-supervised-learning9
python9
action-recognition9
visual-recognition8
deep-learning8
tensorflow8
machine-learning8
image-classification8
Programming languages (4)
Github contributions (5)
leaderj1001/Stand-Alone-Self-Attention
Jul 2019 - Jan 2020
Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
Contributions:48 commits, 2 PRs, 42 pushes in 6 months
pytorchself-attentionstand-alone-self-attention
leaderj1001/Transformer
May 2019 - Oct 2020
Contributions:24 commits, 2 pushes in 1 year 5 months
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