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Youngju Na

Ph.D. Candidate

School of Computing, KAIST


CV | Google Scholar | GitHub


I am a first-year Ph.D. student in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Sung-Eui Yoon. This year, I am fortunate to visit LAVER LABS Spatial AI team as a research intern. 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 rendering techniques, including Gaussian splatting.

Contact

  • yjna2907 [at] kaist.ac.kr

  • E3-1 3443, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D in Computer Science, KAIST

    Mar. 2025 - current

  • Master's in Computer Science, KAIST

    Mar. 2023 - Feb 2025

  • B.S. in Industrial Engineering & IoT Artificial Intelligence , Chonnam National University

    Mar. 2017 – Feb. 2023

    - Top Rank (GPA: 4.36 / 4.5)

Publications

    * Full publication list (including domestic publications) is available in my CV.

  • POSE-FREE 3D GAUSSIAN SPLATTING VIA SHAPE-RAY ESTIMATION

    *Youngju Na, *Taeyeon Kim, Jumin Lee, Kyu Beom Han, Woo Jae Kim, Sung-eui Yoon

    ICIP 2025

    [Project] [Paper]

  • UFORecon: generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets

    Youngju Na, Woo Jae Kim, Kyu Beom Han, Suhyeon Ha, Sung-Eui Yoon

    CVPR 2024

    [Project] [Paper] [Code]

  • Shared knowledge distillation for robust multi-scale super-resolution networks

    *Youngju Na, *Hee Hyeon Kim, Seok Bong Yoo

    Electronics Letters 2022

    [Paper]

  • HAZE-Net: High-frequency attentive super-resolved gaze estimation in low-resolution face images

    Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, Seok Bong Yoo

    ACCV 2022

    [Paper] [Code]

  • Latentgaze: Cross-domain gaze estimation through gaze-aware analytic latent code manipulation

    Isack Lee, Jun-Seok Yun, Hee Hyeon Kim, Youngju Na, Seok Bong Yoo

    ACCV 2022

    [Paper] [Code]

Academic Activities

Reviewer

  • NeurIPS
  • Transaction on Computational Imaging

Teaching Experiences

  • Teaching Assistant, Data Structure (CS206), 2024 Fall, KAIST
  • Teaching Assistant, Computer Graphics (CS380), 2024 Spring, KAIST
  • Teaching Assistant, Introduction to Programming (CS101), 2023 Fall, KAIST
  • Teaching Assistant, Introduction to Algorithm (CS300), 2023 Spring, KAIST

Awards & Honors

  • 1st Prize, Harvest Festival Symposium, AI/IoT Section, CNU, 2022
  • 2nd Prize, Silicon Valley Innovation & Startup Program, San Jose university, 2021