Jaesik Park
Associate Professor
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJaesik Park is an associate professor and researcher specializing in 3D vision and image processing, with a PhD from KAIST and a track record spanning Microsoft Research, Intel Labs, and top Korean universities. He focuses on depth map refinement, rigid and non-rigid 3D reconstruction, multiview photometric stereo, and practical image enhancement, and has contributed backend improvements to the widely used Open3D library—particularly around RGBD image handling. A Microsoft Research Asia Fellow and former intern at both MSR Redmond and MSR Asia, he blends academic rigor with industry-scale system engineering. Known for strong foundational work in RGBD data structures and filtering, he brings both theoretical depth and hands-on implementation experience to his research and teaching in Seoul.
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 UniversityDoctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Github Skills (9)
c-language10
cprogramming-language10
image-processing10
multithreading9
data-structure9
datastructures-algorithms9
algorithm9
data-structures9
algorithms9
Programming languages (5)
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
Back-end DeveloperContributions: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
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