Yu-Ji Kim
I am a Ph.D. student at POSTECH.
I have worked on embodied reasoning and exploration based on spatial understanding.
My research interests lie in enabling embodied agents to perceive and act in the physical world to assist humans.
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News
2026/06: One paper has been accepted to ECCV 2026 .
2026/02: I'll start a research internship at NVIDIA Research Taiwan .
2025/10: One have been selected as an Outstanding Reviewer (Top 3%) at ICCV 2025 .
2025/03: One paper has been accepted to CVPR 2025 .
2024/11: Our paper MeTTA won the Best Poster Award at BMVC 2024 .
2024/07: One paper has been accpted to BVMC 2024 .
2023/07: One paper has been accepted to ICCV 2023 .
2022/07: One paper has been accepted to ECCV 2022 .
Enhancing Embodied Reasoning and Grounding by Novel View Synthesis
Kim Yu-Ji ,
Dahye Lee,
Kim Jun-Seong,
Nam Hyeon-Woo,
GeonU Kim,
Yongjin Kwon,
Yu-Chiang Frank Wang,
Jaesung Choe,
Tae-Hyun Oh
ECCV , 2026
Embodied reasoning and grounding by integrating 3DGS and VLMs.
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
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Video
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arXiv
- Accepted as a highlight paper
- Winner of Qualcomm Innovation Fellowship 2025 Korea
Direct 3D-aware feature embedding with 3DGS.
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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.
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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.
Experience
NVIDIA, Taipei, Taiwan
Feb 2026 - Present
POSTECH, Pohang, Korea
Sep 2021 - Present
Honors & Awards
Outstanding Reviewer, ICCV 2025
Best Poster Award, BMVC 2024
Invited Talks
HDR-Plenoxels: High Dynamic Range Radiance Fields, Google ExploreCSR Workshop on POSTECH, Korea, 2023