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Kim Junseong
I am a joint MS-Ph.D. student at AMILab in Electrical Engineering at POSTECH, advised by Tae-Hyun Oh. Previously, I completed my B.S. in Electrical Engineering at POSTECH.
I work on research projects at the intersection of computer graphics, vision, and machine learning. My research lies in 3D machine perception including, 3D Reconstruction, Neural rendering, and Computational Photography, but not limited to.
News
Research Experiences
Research Intern, working with Eduardo Pérez Pellitero.
, and Young Kyoon Jang.
Academic Collaboration, working with jaesung-choe.
Research Intern, worked with Jin-Hwa Kim.
Graduate Student, working with Tae-Hyun Oh.
On-going Projects
Publications
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 (highlight Top 3.7%)
(Winner of Qualcomm Innovation Fellowship Korea)
Project page |
Paper |
SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko, Yewon Kim, Tae-Hyun Oh
AAAI, 2025
Project page |
Paper |
Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices
Kim Jun-Seong*, Mingyu Kim*, GeonU Kim, Tae-Hyun Oh, Jin-Hwa Kim
RA-L, 2024
Project page |
Paper |
Learning-based Axial Motion Magnification
Kwon Byung-Ki, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh
ECCV 2024
Project page |
Paper |
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
Mingyu Kim, Kim Jun-Seong, Se-Young Yun, Jin-Hwa Kim
ICML 2024
Project page |
Paper
Revisiting Learning-based Video Motion Magnification for Real time processing
Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Kwon Byung-Ki, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh
Arxiv preprint 2024
Paper
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 |
Paper |
Video
Awards and Honors
- CVPR 2025 Outstanding Reviewer
- (Domestic) IPIU2025 Outstanding Poster Presentation Awards
- (Domestic) IPIU2023 Best Paper Award
Academic Services
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) [Outstanding Reviewer in 2025]
- IEEE/CVF International Conference on Computer Vision (ICCV)
- European Conference on Computer Vision (ECCV)
- Advances in Neural Information Processing Systems (NeurIPS)
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