Jaesik Park - Associate Professor

Jaesik Park

Associate Professor

Seoul, South Korea

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Jaesik Park is an Associate Professor at Seoul National University with a PhD from KAIST and over nine years of research and industry experience in 3D vision and image processing. His work spans depth‑map refinement, rigid and non‑rigid 3D reconstruction, multiview photometric stereo and image enhancement, blending rigorous academic research with practical systems built during tenures at Intel Labs and Microsoft Research. A Microsoft Research Asia Fellowship awardee and former MSR/Redmond intern, he has a track record of translating advanced algorithms into robust implementations. He is an active open‑source contributor to Open3D, notably improving core RGBD and image data structures, which highlights his hands‑on focus on the low‑level building blocks of 3D data processing. Based in Seoul, he pairs deep theoretical expertise with practical engineering to tackle challenging problems in computer vision and graphics.

9 years of coding experience

10 years of employment as a software developer

Bachelor Degree, Information and communication; media communication engineering, Bachelor Degree, Information and communication; media communication engineering at Hanyang University

Korea Advanced Institute of Science and Technology

Github Skills (11)

c-language10

image-processing10

c-programming-language10

datastructures9

datastructure9

multithreading9

data-structure9

datastructures-algorithms9

algorithm9

data-structures9

algorithms9

Programming languages (5)

C++CHTMLRubyPython

Github contributions (5)

isl-org/Open3D

May 2017 - Oct 2019

Open3D: A Modern Library for 3D Data Processing

Role in this project:

Back-end Developer

Contributions:3 releases, 770 commits, 203 PRs in 2 years 4 months

Contributions summary:Jaesik has been actively modifying the `RGBDImage` class, as well as making modifications to `Image` and `ImageFactory` in the `src/Core/Geometry` directory, indicating a focus on the underlying data structures. They implemented functions such as creating RGBD images from color and depth images and various image filtering functions. The commits reveal a focus on enhancing the project's capabilities related to 3D image processing and potentially the manipulation and storage of RGBD data.

python3d-perceptionodometrytensorflowpointcloud

syncle/photo_consistency

Jul 2016 - Jan 2018

Contributions:12 commits, 3 pushes, 1 branch in 1 year 5 months

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial