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Kim Yu-Ji

I am a Ph.D. student at POSTECH AI and advised by Prof. Tae-Hyun Oh of Advanced Machine Intelligence (AMI) Lab @ KAIST.

I have worked on building 3D worlds to enable realistic and authentic scene understanding. My research interests are on 3D reconstruction, generation, and perception, but not limited to.

ugkim@postech.ac.kr  /  Overview  /  CV  /  Scholar  /  LinkedIn  /  GitHub

News

  • 03/2025: 1 paper has been accepted to CVPR 2025.
  • 11/2024: Our paper MeTTA won the Best Poster Award at BMVC 2024.
  • 07/2024: 1 paper has been accpted to BVMC 2024.
  • 04/2024: I got accepted to ICVSS 2024 in Sicily, Italy.
  • 07/2023: 1 paper has been accepted to ICCV 2023.
  • 07/2022: 1 paper has been accepted to ECCV 2022

Research

Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration
Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh
CVPR, 2025
Project Page / Video / arXiv
- Accepted as a highlight paper

Direct 3D-aware feature embedding with 3DGS.

MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation
Kim Yu-Ji, Hyunwoo Ha, Kim Youwang, Jaeheung Surh, Hyowon Ha, Tae-Hyun Oh
BMVC, 2024
- Best Poster Award at BMVC 2024

Single view to 3D object reconstruction with realistic PBR textures.

Scratching Visual Transformer's Back with Uniform Attention
Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh
ICCV, 2023

Infusing dense attention splits the responsibility of interactions; the burden of interactions of self-attention is reduced.

HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
Kim Jun-Seong*, Kim Yu-Ji*, Moon Ye-Bin, Tae-Hyun Oh
ECCV, 2022

High dynamic range (HDR) radiance fields that learn a plenoptic function of 3D HDR radiance fields, geometry information, and varying camera settings inherent in 2D low dynamic range (LDR) images.

Education

  • POSTECH - Advanced Machine Intelligence Lab, Pohang, Korea
    Sep 2021 - Present
    Integrated M.S. and Ph.D. student in Graduate Schoold of AI (GSAI).

  • DGIST, Daegu, Korea
    Mar 2016 - Aug 2021
    Major in transdisciplinary studies (Track | Computer Science).

Honors & Awards

  • Best Poster Award, BMVC 2024

Invited Talks

  • HDR-Plenoxels: High Dynamic Range Radiance Fields, Google ExploreCSR Workshop on POSTECH, Korea, 2023

Academic Services

  • Conference reviewer: ICCV, ICLR, AAAI, CVPR, BMVC
  • Journal reviewer: TVCJ

Template adapted from Jon Barron's website.