Yujin Bae

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me and my sister 🐠

Hi! I am Yujin Bae, a second-year M.S. student at KAIST, where I am advised by Prof. Kuk-Jin Yoon in the Visual Intelligence Lab.

My long-term goal is to build proactive assistive AI for embodied settings such as smart glasses and robotic hands. Toward this end, I focus on multimodal understanding of how humans interact with their surroundings, and I aim to extend this understanding to robot learning as a next step.

Concretely, my interests span:

  • Anticipation — forecasting human motion and action semantics from egocentric video with multimodal LLMs
  • Understanding — efficient egocentric video understanding guided by human behavior
  • Transfer — learning dexterous manipulation policies from human video

Before joining KAIST, I received my B.S. at Ewha Womans University (ranked 1st in major!), and spent a semester as an exchange student at the University of Vermont.

Feel free to reach out via yujinbae@kaist.ac.kr!

news

Jun 20, 2026 Our paper “Ego-human Motion Prediction with 3D-aware LLM” was accepted to ECCV 2026! :tada:
Mar 01, 2025 Started my M.S. at KAIST, advised by Prof. Kuk-Jin Yoon. :rocket:

publications

  1. ECCV 2026
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    Ego-human Motion Prediction with 3D-aware LLM
    Yujin Bae*, Jaewoo Jeong*, Hyeonseong Kim*, and Kuk-Jin Yoon
    In European Conference on Computer Vision (ECCV), 2026
    (* equal contribution)
  2. Under Review
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    EgoComp: Behavior-guided Complementary Token Selection for Efficient Egocentric Video Understanding
    Jaewoo Jeong*, Minseok Kim*, Yujin Bae*, Sung-Hoon Yoon, and Kuk-Jin Yoon
    2026
    (* equal contribution)
  3. Under Review
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    SRA: Spatial Reasoning Adapter via Evolving Social Interaction Graphs for Trajectory Prediction
    Jaewoo Jeong*, Seonkyu Song*, Hyeonwoo Park, Jegyeong Cho, Yujin Bae, Giwon Lee, Daehee Park, and Kuk-Jin Yoon
    2026
    (* equal contribution)