3D Vision · Robotics · AI

Youngju Na

Ph.D. Candidate, School of Computing, KAIST

I am a second-year Ph.D. student in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Sung-Eui Yoon. Last summer, I was fortunate to join the Spatial AI team at NAVER LABS as a research intern (advised by Suyong Yeon). The goal of my research is to empower AI with spatial understanding by reconstructing, generating, and interacting within 3D scenes. Recently, I’ve been focusing on world models, robot vision, motion modeling, and rendering.

yjna2907 [at] kaist.ac.kr Daejeon, Korea

Portrait of Youngju Na

News

  • Paper

    MoSDOT was accepted to NeurIPS 2026.

  • Paper

    MorphGS was accepted to ECCV 2026.

  • Press

    GLINT was featured on the cover of CVPR Daily, with an interview ahead of the oral presentation.

  • Award

    GLINT was selected as a Best Paper Award Candidate at CVPR 2026 (top 1.8% of accepted papers).

  • Paper

    GLINT was selected for an Oral presentation and Visual-RRT as a Highlight at CVPR 2026.

  • Paper

    Two papers, GLINT and Visual-RRT, were accepted to CVPR 2026.

  • Award

    Pose-Free 3DGS via Shape-Ray Estimation received the Best Student Paper Award at ICIP 2025 (top 0.16%).

  • Paper

    AegisRF was accepted to BMVC 2025.

  • Paper

    Pose-Free 3DGS via Shape-Ray Estimation was accepted to ICIP 2025.

  • Career

    Joined the Spatial AI team at NAVER LABS as a research intern.

  • Career

    Received my M.S. and started my Ph.D. at KAIST, continuing in the SGVR Lab with Prof. Sung-Eui Yoon.

  • Paper

    UFORecon was accepted to CVPR 2024.

  • Career

    Joined the SGVR Lab at KAIST as an M.S. student, advised by Prof. Sung-Eui Yoon.

Publications

Selected. Full list, including domestic publications, in my CV.

Awards & Honors

  • Best Paper Award Candidate, CVPR 2026

    GLINT, Top 1.8%

    2026
  • Best Student Paper Award, ICIP 2025

    2025
  • 1st Prize, Harvest Festival Symposium, AI/IoT Section, CNU

    2022
  • 2nd Prize, Silicon Valley Innovation & Startup Program, San Jose university

    2021

Education

  • Ph.D. in Computer Science, KAIST

    Mar. 2025 – Present
  • Master’s in Computer Science, KAIST

    Mar. 2023 – Feb. 2025
  • B.S. in Industrial Engineering & IoT Artificial Intelligence, Chonnam National University

    Top Rank (GPA: 4.36 / 4.5, Major GPA: 4.46 / 4.5)

    Mar. 2017 – Feb. 2023

Work Experience

Teaching

Teaching Assistant, KAIST

  • Data Structure (CS206)

    2024 Fall
  • Computer Graphics (CS380)

    2024 Spring
  • Introduction to Programming (CS101)

    2023 Fall
  • Introduction to Algorithm (CS300)

    2023 Spring

Academic Activities

  • Reviewer

    CVPR · ICCV · ICLR · NeurIPS · Transactions on Computational Imaging