Hoseong Lee
Principal Deep Learning Researcher at Cognex Corporation
Seoul, South Korea
Summary
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Rockstar🎓
Top SchoolHoseong Lee is a Principal Deep Learning Researcher based in Seoul with 8 years of hands-on experience building industrial computer vision and anomaly detection systems. At Cognex (and previously SUALAB) he has led research spanning unsupervised anomaly detection, object detection, segmentation, barcode image restoration, edge-oriented network compression, and defect generation. His work emphasizes production-ready solutions—label-noise detection, hyperparameter optimization, and image matching—to bridge research prototypes and deployed inspection systems. He holds bachelor’s and master’s degrees in Electrical and Information Engineering from Seoul National University. An active practitioner, he shares code and insights on GitHub and his technical blog, signaling a commitment to reproducible research and community knowledge sharing. Colleagues describe him as a researcher who balances deep algorithmic rigor with practical constraints of edge deployment.
7 years of coding experience
5 years of employment as a software developer
석사, 전기정보공학, 석사, 전기정보공학 at Seoul National University
Github Skills (27)
anomaly-detection10
classification10
machine-learning10
tricks10
deep-learning10
deep-neural-networks10
carrier10
object-detection10
computer-vision10
keyword9
segmentation9
jekyll-theme8
semantic-segmentation8
jekyll8
pytorch8
Programming languages (2)
Github contributions (5)
hoya012/CVPR-2020-Paper-Statistics
May 2020 - May 2021
Contributions:11 commits, 10 pushes, 1 branch in 1 year
hoya012/hoya012.github.io
Jun 2018 - Feb 2022
A minimal, type-focused Jekyll theme.
Contributions:697 commits, 652 pushes in 3 years 8 months
focusedjekylljekyll-theme
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