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.

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.

Concretely, my interests span:

  • Multi-modal LLMs — grounding language models in the 3D world
  • Egocentric vision — reasoning about the world from a first-person view
  • Human action anticipation — predicting what a person will do next
  • Human–robot interaction — letting robots assist people proactively

Before joining KAIST, I received my B.S. at Ewha Womans University (ranked 1st in class!), 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. NeurIPS 2026
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    Gaze-hand Trajectory Merging for Efficient Egocentric Video Understanding
    Jaewoo Jeong*, Minseok Kim*, Yujin Bae*, Sung-Hoon Yoon, and Kuk-Jin Yoon
    2026
    Under review. (* equal contribution)
  3. NeurIPS 2026
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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
    Under review. (* equal contribution)