CV

Curriculum Vitae of Yujin Bae.

Contact Information

Name Yujin Bae
Professional Title M.S. Student, KAIST
Email yujinbae@kaist.ac.kr
Location Daejeon, South Korea
Website https://jinyubae.github.io

Professional Summary

I am interested in building multimodal large language models that genuinely understand the 3D world. My current work centers on human action understanding, leveraging 3D scene representations to predict and reason about human motion. Building on this, my broader goal is to strengthen robot intelligence with language and multimodality, enabling robots to act reliably and intelligently in the human-centered spaces we live in. My research interests span multi-modal LLMs, egocentric vision, human action anticipation, and human–robot interaction.

Education

  • 2025 -

    Daejeon, South Korea

    M.S.
    Korea Advanced Institute of Science and Technology (KAIST)
    The Robotics Program
    • Advisor: Prof. Kuk-Jin Yoon (Visual Intelligence Lab)
  • 2019 - 2025

    Seoul, South Korea

    B.S.
    Ewha Womans University
    Department of Software
    • Summa Cum Laude (Highest Honors)
    • Ranked 1st in class
  • 2023 - 2023

    Vermont, USA

    Exchange Program
    University of Vermont
    Exchange Student
    • Funded by Mirae Asset Exchange Scholarship

Honors and Awards

  • 2025
    Summa Cum Laude (Highest Honors)
    Ewha Womans University

  • 2022
    Minister's Award, Ministry of Science and ICT — Blockchain Grand Challenge
    Ministry of Science and ICT, Republic of Korea

  • 2022
    Dean's List
    Ewha Womans University

    Awarded 2019–2022.

Research Interests

Multi-modal LLMs: grounding language models in the 3D world, 3D-aware vision–language models
Egocentric Vision: reasoning about the world from a first-person view
Human Action Anticipation: predicting what a person will do next, human motion prediction
Human–Robot Interaction: letting robots assist people proactively

Research Experience

  • 2025 -

    Daejeon, South Korea

    Project Member
    Visual Intelligence Lab, KAIST
    “Core Technology Development for Autonomous Driving in Unstructured Off-Road Environments,” funded by Hanwha Aerospace. Real-world deployment target in unstructured off-road terrain.
    • Core perception technology for autonomous driving in unstructured off-road environments
    • Data augmentation and sensor fusion for robust perception
    • Real-world deployment target in off-road terrain
  • 2024 - 2024

    Daejeon, South Korea

    Research Intern (Full-time)
    HCI Tech Lab, Graduate School of Culture Technology, KAIST
  • 2022 - 2022

    Daejeon, South Korea

    Research Intern (Full-time)
    Humanoid Generalization Lab, Graduate School of AI, KAIST

Languages

Korean : Native
English : Fluent (TOEIC 960)

Skills

Programming & Tools: Python, Git, Bash, LaTeX
ML / Scientific Computing: PyTorch, TensorFlow, PyBullet