Jinsung Lee
Jinsung Lee

Ph.D Candidate

I am currently a Ph.D candidate at POSTECH CVLab (Advisor: Prof. Suha Kwak), where I am having fun doing research!
I am interested in designing a compressive neural networks that extract the most informative features within a fixed space of limited complexity. I believe that state-space models (SSMs) offer valuable properties for achieving this goal, and I am actively exploring their application in my work. Previously, I worked on video understanding tasks, such as human action recognition and long-term context modeling.

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Interests
  • Compression
  • State-Space Models
  • Autoencoder
Education
  • PhD Artificial Intelligence

    POSTECH

  • MSc Artificial Intelligence

    POSTECH

  • BS Mathematics

    Korea University

News
  • (Jul. 2024) A paper is accepted to ECCV 2024.
  • (Jan. 2023) I started working at NAVER Cloud as a research scientist intern.
  • (Feb. 2022) A paper is accepted to CVPR 2022.
  • (Jan. 2022) I will be visiting Carnegie Mellon University as a visiting scholar.

Experience

  1. Research Intern

    NAVER Cloud

Education

  1. PhD Artificial Intelligence

    POSTECH
    Advisor: Prof. Suha Kwak.
    GPA: -
  2. MSc Artificial Intelligence

    POSTECH
    Advisor: Prof. Suha Kwak.
    GPA: 4.1/4.3
    Read Thesis
  3. BS Mathematics

    Korea University
    Advisor: Prof. Seong-Deog Yang.
    GPA: 3.98/4.5
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