Hi, my name is Jinhyeok Kim. I’m interested in ML model about vision and motion capture. I believe that DL model will have astonishing ability in near future. And I’m always looking for what I can make in this huge change. If you interested about me, please see my resume!

1. Experience

**Master Student, 3D Vision & Robotics Lab, UNIST (**2023.3 ~ Present)

• Image Matching Challenge 2023 ****🥉 98/494 (top 20%)

• FRASIER got accepted on ICASSP 2024.

  • IPIU 논문 개제
  • 해외/국내 특허 출원
  • 국내 학회 - 우수 포스터 발표상

• Failed Project

  • https://github.com/jk4011/DDGS : depth diffusion gaussian splattinghttps://github.com/jk4011/incremental-dream
  • https://github.com/jk4011/incremental-dream : 3D generation with

**Research Intern, Lim Lab, UNIST (**2021.4 ~ 2023.2)

• As a research intern, I collected 3D motion capture data with text label and preprocessed for modeling.
  • https://github.com/jk4011/Mocap-Preprocess : prepocessing code of motion capture data
• Also I researched inference optimization of diffusion model through symmetric alpha stable using torch gpu interface.
  • https://github.com/UNIST-LIM-Lab/torchlevy : pytorch-based features about symmetric alpha stable distribution.

Backend Engineer, Tenuto (2020.7 ~ 2021.2)

• As a backend engineer, I constructed web api server of tenu through golang and SFU server, which allows users to communicate through video calling.