I am a PhD student at the University of Melbourne, co-supervised by Prof. Taehyun Rhee and A/Prof. Kris Ehinger. My research aims to perceive and reason over dynamic 3D environments for embodied AI. My interests include functional 3D scene understanding, 4D human-object-interaction understanding, 4D MLLM, world model, and VLA.
Previously, I received my Master's degree from Yonsei University under the supervision of Prof. Youngjung Uh, where I focused on dynamic 3D reconstruction using 3D Gaussian Splatting and NeRF. I also collaborated with Taein Kwon on dynamic 3D hand reconstruction.
Hand-4DGS: Feed-Forward 3D Gaussian Splatting for 4D Hand Reconstruction from Egocentric Videos
Jeongmin Bae‡, Seoha Kim‡, Marc Pollefeys, Mahdi Rad, Youngjung Uh, Taein Kwon
Preprint
Efficient 4D Scaffold Gaussian Splatting with Dynamic‑Aware Anchor Growing
Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim
AAAI 2026
Compensating Spatiotemporally Inconsistent Observations for Online Dynamic 3D Gaussian Splatting
Youngsik Yun, Jeongmin Bae, Hyunseung Son, Seoha Kim, Hahyun Lee, Gun Bang, Youngjung Uh
SIGGRAPH 2025
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Hyunjee Lee‡, Youngsik Yun‡, Jeongmin Bae, Seoha Kim, Youngjung Uh
AAAI 2025
E-D3DGS: Per-Gaussian Embedding based Deformation for Deformable 3D Gaussian Splatting
Jeongmin Bae‡, Seoha Kim‡, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh
ECCV 2024
Optimizing Dynamic NeRF and 3DGS with No Video Synchronization
Seoha Kim‡, Jeongmin Bae‡, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh
ECCV 2024 Wild3D Workshop
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Seoha Kim‡, Jeongmin Bae‡, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh
AAAI 2024