Jeesun Kim

Graphics Engineer
Experienced in Computer Graphics and Vision, majoring in Computer Science and Engineering. Proficient in OpenGL, C/C++, CUDA, and FFMPEG. Experienced in implementing a Graphics Renderer from scratch. Interested in Graphics/Vision algorithms and Mathematics.
- Location
 - Seoul, South Korea
 - emoy.kim@gmail.com
 - Website
 - https://jeesunkim.com
 
Experience
– present
Senior Graphics Engineer at Shuttlerock
Shakr has been acquired by Shuttlerock.
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Senior Graphics Engineer at Shakr
Responsible for developing the OpenGL renderer from scratch communicating with Adobe After Effects.
Highlights
- Linear and Bezier keyframing
 - Video decoding and encoding acceleration with NVDEC/NVENC
 - Audio processing such as stretching, panning, and volume control
 - Common layer features including masks, layer parenting, track-matte, and motion blur
 - Text leading, tracking, kerning, caps, and faux italic
 - Text paths and animation
 - Camera viewing and Lighting
 - Any shapes rendering including rectangles and ellipses with Bezier curves
 - 3D camera viewing
 - Lighting including ambient, point, spot, and parallel
 - Running expressions written in Javascript with V8 engine
 - Over 60 effects including corner-pin, fill, audio spectrum, wave warp, light sweep, etc.
 - Layer styles; drop shadow, inner shadow, color overlay, and stroke
 
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Associate Researcher at IntelliVIX
Responsible for developing and maintaining projects relating to Computer Graphics and Vision.
Highlights
- Estimating the frontal/lateral face images from lateral/frontal face images
 - Auto-calibration using objects being tracked
 - Stabilization and turbulence removal in CCTV videos based on Qualcomm chip
 - Fire, water-level, and weather detection
 - Virtual camera view rendering without any graphics libraries
 - People detection from an overhead-view single-depth camera
 
Education
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Master in Computer Graphics from Sogang University
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Bachelor in Computer Science and Engineering from Sogang University
Publications
Creating Panoramic Videos from Unsynchronized Camera Arrays (Master Thesis) by Sogang University