Summary
Seungwook Kim is a computer vision PhD candidate and research intern with eight years of experience focused on 2D/3D correspondences, {text,image}-to-{3D,4D} generation, and canonical pose estimation for 3D shapes. Currently at ByteDance, he works on improving quality, efficiency, and consistency of multimodal-to-3D generation pipelines while pursuing research at POSTECH’s Computer Vision Lab. His background spans applied internships in robotics, camera ISP analysis, audio-driven facial animation, and data engineering—demonstrating a rare mix of theoretical depth and production-minded engineering. He maintains an active academic homepage and GitHub presence, signaling ongoing open research and reproducible code, and has practical experience integrating multi-RGB-D camera systems for real-world robot navigation. Unexpectedly, his early work includes automating large-scale BI pipelines and sensor vignetting analysis, showing versatility across data, hardware, and learning-based vision problems.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 포항공과대학교
High School Education, IGCSE O-levels, High School Education, IGCSE O-levels at Fairview International School
A-Levels, A-Levels at HELP College of Arts and Technology
English, Korean