
Ph.D. Student @ SNU 3D Vision Lab
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GeoStyle
February 22, 2026 – Present
Official implementation of Image-Guided Geometric Stylization of 3D Meshes (CVPR 26')
View ProjectHCP
November 27, 2024 – October 21, 2025
Official implementation of Humans as Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos (ICCV 25')
View Project3Doodle
May 1, 2024 – August 25, 2024
Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24', Journal track)
View Projectsuggestive_contours
January 9, 2024 – November 11, 2024
Modified version of suggestive contour rendering from https://gfx.cs.princeton.edu/proj/sugcon/
View ProjectEgoNeRF
March 8, 2023 – June 6, 2023
Official implementation of Balanced Spherical Grid for Egocentric View Synthesis (CVPR 23')
View ProjectIBL-NeRF
December 14, 2022 – September 12, 2023
Official implementation of IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields (Computer Graphics Forum, Pacific Graphics 2023)
View Projectml2020
September 6, 2020 – February 19, 2021
Project page for 'The Methodology for Stereo Image Learning Representation'. (Machine Listening 2020 Fall)
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research in computer graphics and deep learning, which aligns with a research-heavy Data Scientist role. However, the lack of diverse project types (e.g., business intelligence, A/B testing, production deployment) suggests a potentially narrow focus for a general Data Scientist position. The absence of team-based projects or collaborative descriptions makes it difficult to assess cultural fit beyond individual technical contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project contributions.