Yoonwoo Jeong

Computer Vision Researcher at Computer Vision LAB, POSTECH

South Korea
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Summary

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Yoonwoo Jeong is a computer vision researcher with seven years of experience focused on 3D perception and novel view synthesis, currently based in South Korea and affiliated with the Computer Vision LAB at POSTECH. He has industry research experience at KakaoBrain and a deep learning researcher stint at NVIDIA Taiwan, blending academic rigor from an integrated M.S./Ph.D. program in AI with applied model development. Yoonwoo’s work spans generative models and practical 3D vision systems, and he actively shares insights and articles via his personal site. He seeks researcher internship opportunities where cutting-edge vision research meets product-driven teams, bringing both theoretical depth and hands-on implementation experience.
code7 years of coding experience
job1 year of employment as a software developer
bookIntegrated M.S./Ph.D Graduate School of Artificial Intelligence, Integrated M.S./Ph.D Graduate School of Artificial Intelligence at Pohang University of Science and Technology
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Github Skills (21)

radiance10
calibration10
computer-vision10
pytorch9
deep-learning8
pointnet8
neural-rendering8
perception7
segmentation5
volume-rendering5
tooling4
multimodal-deep-learning4
computer-graphics4
3d-reconstruction4
point-cloud4

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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POSTECH-CVLab/SCNeRF

Aug 2021 - Aug 2022

[ICCV21] Self-Calibrating Neural Radiance Fields
Contributions:80 commits, 2 PRs, 59 pushes in 1 year
pytorchdeep-learningneural-radiance-fieldscomputer-visioncalibration
POSTECH-CVLab/PeRFception

Dec 2021 - Jan 2023

Official implementation of PeRFception: Perception using Radiance Fields.
Contributions:205 commits, 3 PRs, 60 pushes in 1 year 1 month
radianceperceptionfields
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