Kihwan Yoon

AI Researcher at BLUEDOT, working on computer vision and on-device deep learning. I received my Ph.D. from the University of Seoul in 2024, advised by Prof. Yong Han Kim.

Research Interests

• Real-Time Super-Resolution
• Video Frame Interpolation
• Stereoscopic Imaging & HDR
• On-device LLM & Image/Video Restoration

Education

• Ph.D. in Electrical and Computer Engineering, University of Seoul (Sep 2020 – Aug 2024)
  Advisor: Prof. Yong Han Kim
• B.S. in Electrical and Computer Engineering, Dankook University (Mar 2015 – Feb 2019)

Experience

• AI Researcher, BLUEDOT (2024 – Present)
• Research Scientist, Korea Electronics Technology Institute (KETI) (Sep 2021 – Jan 2024)

Recent Papers

XPaintNet: An eXtreme Lightweight Framework for Stereoscopic Conversion without Inpainting Network

Kihwan Yoon, Juyeon Shin, Jungheum Kang, Sijung Kim, Minyong Jeon

CVPR 2026 (Coming Soon)

RCENet: Recursive Concatenation and Enhancement Network for Real-Time Super-Resolution

Kihwan Yoon, Ganzorig Gankhuyag, Jinwoo Jeong

ICCVW 2025  ·  🥈 2nd Place, MAI 2025 Challenge

🌐 Project 📄 PDF

LiteRT-Optimized INT8 LLM for Raspberry Pi4 Deployment

Kihwan Yoon, HC Moon, A Kim, S Kim, SS Lee, SJ Jang, G Gankhuyag, J Jeong

ICCVW 2025

🌐 Project 📄 PDF

IAM-VFI: Interpolate Any Motion for Video Frame Interpolation with Motion Complexity Map

Kihwan Yoon, Yong Han Kim, Sungjei Kim, Jinwoo Jeong

ECCV 2024

🌐 Project 📄 PDF 💻 Code

CASR: Efficient Cascade Network Structure with Channel Aligned Method for 4K Real-Time Single Image Super-Resolution

Kihwan Yoon, Ganzorig Gankhuyag, Jinman Park, Haeng Seon Son, Kyoungwon Min

CVPRW 2024  ·  🏆 1st Place, AIS Challenge

🌐 Project 📄 PDF 💻 Code

See all publications →

Recent Awards

• 🥈 2nd Place — Mobile AI (MAI) 2025 Challenge: Quantized Image SR on Mobile NPUs, CVPRW 2025
• 🏆 1st Place — AIS 2024 Challenge: Real-Time 4K SR of Compressed AVIF Images, CVPRW 2024
• 🏆 1st Place — AIM 2022 Challenge: Quantized Image SR on Mobile NPUs, ECCVW 2022

See all awards →