Sangyun Lee

Warm greetings!

I’m an Assistant Professor in the Division of Future Convergence at Sungkonghoe University, Seoul, Republic of Korea. I currently have a focus on Artificial Intelligence, Computer Vision, and Robotics, encompassing everything from theoretical foundations to diverse industrial applications. My passion lies in exploring how these cutting-edge technologies can be integrated to innovate and advance our understanding and capabilities in the field.

Before accepting this position, I worked in the Samsung Electronics Co., Ltd. as a Senior Researcher. I studied for my Ph.D. at Yonsei University under the supervision of Euntai Kim and completed this in 2018 with a dissertation entitled ‘Deep Neural Network based Discriminative Feature Learning and Its Application to Multiple Object Tracking’.

Apart from my academic pursuits, I enjoy running, playing League of Legends, and exploring the world of wines.

news

Aug 1, 2025 :sparkles::sparkles:’StoneGAT: Skeleton-aware Graph Attention Networks for Robust Fall Detection from Single-frame Poses’ was accepted for presentation in ICCAS 2025, Incheon, Korea!
May 19, 2025 :rocket::rocket:’Feature Refinement With Vision State Space Modules for Tiny Object Detection’ was accepted for publication in Journal of Institute of Control, Robotics and Systems!
Dec 17, 2024 :rocket::rocket:’DeepCampus: A Campus Tour Mobile Application Using Deep Learning-Based Vision Technologies’ was accepted for publication in The Transactions of the Korean Institute of Electrical Engineers!
Nov 11, 2024 :sparkles::sparkles:’Making MambaVision Temporal: Leveraging TSM for Efficient Video Understanding’ was accepted for presentation in ICEIC 2025, Osaka, Japan!
Aug 1, 2024 :+1::+1:A new project titled ‘Making Action Detection Practical: Leveraging 2D CNNs for Real-Time and Online Applications’ started in Aug 2024. This work is supported by the Sungkonghoe University Research Grant of 2024.
Jul 1, 2024 :+1::+1:A new project titled ‘Real-time monitoring technology for identifying hazardous situations for workers in industrial settings using video-based AI’ started in Jul 2024. This work is supported by the Technology development Program funded by the Ministry of SMEs and Startups(MSS, Korea).
Dec 12, 2023 :rocket::rocket:’Making TSM Better: Preserving Foundational Philosophy for Efficient Action Recognition’ was accepted for publication in ICT Express!
May 1, 2023 :+1::+1:A new project titled ‘Development of Core Technology for Preventing Identity Theft’ started in May 2023. This work is supported by the SECUCHART GLOBAL Co., Ltd.
Apr 14, 2023 :sparkles::sparkles:’D-TSM: Discriminative Temporal Shift Module for Action Recognition’ was accepted for presentation in UR 2023, Hawaii, USA!
Oct 17, 2022 :rocket::rocket:’Extended Siamese Convolutional Neural Networks for Discriminative Feature Learning’ was accepted for publication in International Journal of Fuzzy Logic and Intelligent Systems!

selected publications

  1. vssmfpn.png
    Feature Refinement With Vision State Space Modules for Tiny Object Detection
    Sangyun Lee
    Journal of Institute of Control, Robotics and Systems, 2025
  2. deepcampus.jpg
    DeepCampus: A Campus Tour Mobile Application Using Deep Learning-Based Vision Technologies
    Mujae Park, Yun A Kim, Heeju Cha, and 1 more author
    The Transactions of the Korean Institute of Electrical Engineers, 2025
  3. RYU2023.png
    Making TSM better: Preserving foundational philosophy for efficient action recognition
    Seok Ryu, Sungjun Hong, and Sangyun Lee
    ICT Express, 2024
  4. 8587153.png
    Multiple Object Tracking via Feature Pyramid Siamese Networks
    Sangyun Lee, and Euntai Kim
    IEEE Access, 2019