Professor · Department of Computer Science & Engineering, KOREATECH
MIC Lab (Multimodal Intelligence & Computing Laboratory)


Contact

  • Email: sungjei.kim@koreatech.ac.kr
  • Office: 2nd Engineering Building / Room 426
  • Address: 1600 Chungjeol-ro, Byeongcheon-myeon, Dongnam-gu, Cheonan-si, Chungcheongnam-do, Republic of Korea

Research Highlights

  • Efficient vision models for edge devices
  • Multi-modal processing and representation learning
  • Motion analysis and personalized training AI
  • Physically grounded AI systems for real-world perception and interaction

Publications (Selected)

  • (2025) YOLOV6+: simple and optimized object detection model for INT8 quantized inference on mobile devices, Journal (SIVP). PDF
  • (2024) IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map, Conference (ECCV). PDF · Code
  • (2023) Feature-Domain Adaptive Contrastive Distillation for Efficient Single Image Super Resolution, Journal (IEEE Access). PDF

Patents (Selected)

  • (10-2650510) Method and Apparatus for Video Noise Reduction
  • (10-2610353) Method and Apparatus for Object Detection from Depth Images
  • (10-1678654) HEVC Standard Patent Included in the MPEG LA Licensing Pool

Education

  • Ph.D., Yonsei University, Seoul, 2011
  • M.S., Yonsei University, Seoul, 2006
  • B.S., Yonsei University, Seoul, 2004

Experience

  • (2024–Now) Assistant Professor, KOREATECH
    • Design of Multimodal On-device AIs for Media and Robots
    • National R&D Project Planning and Principal Investigator (PI)
  • (2015–2024) Principle Engineer, Korea Electronics Technology Institute
    • Efficient and Lightweight Design of Computer Vision and AI algorithms
    • National R&D Project Planning and Principal Investigator (PI)
  • (2011–2015) Senior Engineer, Samsung Electronics
    • Design of multimedia (Video compression) IPs for Exynos AP series

Awards & Honors

  • (2026) Best Teaching Award 2025 (2025 KOREATECH 최우수 교육상)
  • (2024) 4st Place, Real-time on-device AI optimization, 2024 (KETI Best Technology Award)
  • (2022) 1st Place, Mobile AI & AIM 2022 Challenge on Quantized Image Super-Resolution, 2022 (ECCV Workshop Award)
  • (2020) 2nd Place, AI Optimization & Model Lightweighting Track, 2020 Artificial Intelligence Grand Challenge (IITP Director’s Award)
  • (2019) 1st Place, Digital R&D Planning Hackathon (Minister of Science and ICT Award)

Professional Activities

  • (2016-Now) IITP R&D Planning Committee Member
  • (2022-Now) KOCCA R&D Planning Committee Member
  • (2025-Now) KEIT R&D Planning Committee Member

  • Google Scholar: (link)
  • GitHub: (link)
  • CV (PDF): (link)