Gihwan Kim

About Me

I am an M.S. Computer Science and Engineering student at Chungnam National University, advised by Hyungshin Kim in ESLAB My research experience has centered on model compression and acceleration. Previously, i worked on semantic segmentation and object detection, focusing on vision tasks acceleration and compression in satellite applications. I earned B.S. degree in Computer Software and Engineering from Chungnam National University.

CV

News

• 2025-08 ~ 2026-02 I started as a visiting researcher at the Carnegie Mellon University.
• 2025-12 IPTQ-ViT accepted to WACV 2026 as Oral presentation!
• 2024-06 Mixed Non-linear Quantization for Vision Transformers paper accepted to ECCV 2024 Workshop.
• 2024-01 Lightweight Disaster Semantic Segmentation paper published at IGARSS 2024.

Publications

• IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
  ⭐WACV 2026 Oral

  1st author
• Mixed Non-linear Quantization for Vision Transformers
  ECCV 2024

  Co-1st author
• Lightweight Disaster Semantic Segmentation for UAV On-Device Intelligence
  IGARSS 2024, IEEE International Geoscience and Remote Sensing Symposium

  2nd author
• Power Efficient Long Range Drone Networking System for UAV Detection
  🏆Best Paper Award

  ICTC 2023

  1st author

Skills

Education

1. M.S. Dept. of Architectural Engineering

   Chungnam National University · 2024 – 2026
   Advisor: Hyungshin Kim
2. B.S. Dept. of Architectural Engineering

   Chungnam National University · 2017 – 2024

Experience

1. Visiting Scholar

   Carnegie Mellon University, Software and Societal Systems Department, USA · 2025 – Present
2. Research Intern

   Electronics and Telecommunications Research Institute, Republic of Korea, Daejeon · Jan 2024 – Feb 2024
3. Visiting Scholar

   Purdue University, USA · Jan 2023 – Feb 2023
   Participated as a Korean Software Square Winter 2023 program. Implemented and researched counter drone system with on-device AI.
4. Research Student

   Embedded Systems Laboratory at Chungnam National University, Republic of Korea, Daejeon · Apr 2022 – Dec 2023
   Researched quantization and optimization for a low power computer vision system.
5. SW program 42 Seoul

   Innovation Academy, Republic of Korea, Seoul · Feb 2020 – Jun 2021
   Participated software education program.

Courses

1. 11-785 Introduction to Deep Learning (Carnegie Mellon University)

Outside of Work

Beyond my academic interests, I find joy in swimming and traveling !! They refresh my mind and broaden my perspective.

🌍 Places I've Visited

• 🇮🇹 Italy: Milan, Genoa, Dolomites
• 🇫🇷 France: Paris
• 🇬🇷 Greece: Athens, Santorini
• 🇺🇸 United States: West Lafayette, San Francisco, Santa Clara, Chicago
• 🇯🇵 Japan

🌍 Places I Planned

Coming soon...