Kim Yu-Ji (김유지)

I'm a Ph.D. candidate at Algorithmic Machine Intelligence Lab @ POSTECH AI advised by Prof. Tae-Hyun Oh.

I've worked for creating a 3D virtual world for realistic and authentic communication. My main areas of interest are 3D computer vision, generative model, and multi-modal learning, but not limited to.

ugkim@postech.ac.kr  /  CV  /  Scholar  /  Github  /  LinkedIn  /  X

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News

  • (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
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
Project Page / Video / arXiv

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
Project Page / Video / arXiv

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
Project Page / Video / arXiv

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 - Algorithmic Machine Intelligence Lab, Pohang, Korea
    Sep 2021 - Present
    Integrated M.S. and Ph.D. in AI, advised by Prof. Tae-Hyun Oh.

  • DGIST, Daegu, Korea
    Mar 2016 - Aug 2021
    Major in Transdisciplinary Studies (Track | Computer Science)

Invited Talks

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

Template adapted from Jon Barron's website.