Junsuk Choe
Associate Professor
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJunsuk Choe is an Associate Professor in the Department of Computer Science and Engineering at Sogang University with nine years of experience spanning academia and industry research. His work focuses on computer vision and machine learning, particularly methods that learn effectively from limited data via self-supervised and weakly-supervised approaches. Before joining Sogang’s faculty he was a research scientist at NAVER AI Lab, bringing practical AI development experience to his academic research and teaching. He holds a Ph.D. in Integrated Technology and a B.S. in Electrical and Electronic Engineering from Yonsei University, reflecting deep interdisciplinary training. Based in Seoul, he blends rigorous research with applied problem-solving, often bridging theory and real-world deployment in Korean AI ecosystems. An underappreciated strength is his sustained focus on data-efficient learning, positioning him to advance ML where labeled data is scarce.
8 years of coding experience
5 years of employment as a software developer
Ph.D., Integrated Technology, Ph.D., Integrated Technology at Yonsei University
English, Korean
Github Skills (30)
weakly-supervised-learning10
reinforcement-learning9
semi-supervised-learning9
adversarial-learning9
localization9
dropout9
visual-recognition8
flexibility8
machine-learning8
generalization8
tensorflow7
deep-learning7
transfer-learning6
bit6
robustness6
Programming languages (2)
Github contributions (5)
junsukchoe/co-localization
May 2018 - Jul 2018
Contributions:2 PRs, 267 pushes, 9 branches in 1 month
junsukchoe/ADL
Jun 2019 - Feb 2020
Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)
Contributions:1 PR, 67 pushes, 1 branch in 7 months
pytorchadversarial-learningsupervisedobject-localizationvisual-recognition
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