
Research Scientist @ ETRI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ETRI
Frontend Developer
June 27, 2026 – Present
ProOut
July 17, 2025 – October 27, 2025
Progressive Artwork Outpainting via Latent Diffusion Models (ICCV 2025)
View ProjectDIFu
February 28, 2023 – June 14, 2023
Project Page of DIFu: Depth-guided Implicit Function for Clothed Human Reconstuction (IEEE/CVF CVPR 2023)
View ProjectWeaklySupervisedStitchingNetwork
October 13, 2022 – February 16, 2023
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation Source Code Repository (ECCV 2022)
View ProjectNIQA
December 17, 2021 – May 13, 2022
No-reference Image Quality Assessment(NIQA) Algorithms (BRISQUE, NIQE, PIQE, RankIQA, MetaIQA)
View ProjectEEISN_SPL21
April 5, 2021 – June 25, 2021
Song et al., End-to-End Image Stitching Network via Multi-Homography Estimation, IEEE SPL, 2021
View ProjectMaze-Runner
January 28, 2021 – May 29, 2021
Escape the maze of reinforcement learning agents (without deep-learning)
View ProjectAPAP-Image-Stitching
January 2, 2021 – November 29, 2022
As-Projective-As-Possible (APAP) Image Stitching with Moving DLT (CVPR 2013) - Python Implementation
View ProjectRoad-Extraction
August 24, 2020 – December 30, 2020
Road Extraction from Satellite Observation
View ProjectWindows10-Ubuntu-Remote-Access
August 21, 2020 – September 29, 2020
windows 10 -> Linux Ubuntu 18.04 remote access installation guide.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic research in computer vision and image processing, which may indicate a strong research-oriented mindset. While the current role is 'Frontend Developer', the project portfolio does not strongly align with typical frontend development skills (e.g., JavaScript frameworks, CSS, UI/UX). This suggests a potential mismatch with a pure frontend role, but could be a good fit for roles requiring visualization or data presentation within a research context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are technical but do not provide insight into collaboration, problem-solving approach, or communication style.