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 (46)
attention-mechanism10
searching10
self-attention10
bottleneck10
depth-estimation9
video-understanding9
python9
machine-learning9
image-recognition9
densenet9
deep-learning9
efficientnet9
visual-recognition8
action-recognition8
tensorflow8
Programming languages (4)
Github contributions (5)
leaderj1001/Action-Localization
May 2019 - Sep 2019
Contributions:37 commits, 19 pushes in 4 months
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
pytorchstand-alonestandvisiondeep-learning
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