Hyunjin Kim

I'm an incoming CS PhD student at the University of Maryland, College Park. I'm also an incoming research intern at Nokia Bell Labs this summer.

I received my MS in CS from UC San Diego, advised by Prof. Xiaolong Wang, and my BS from Yonsei University, during which I worked with Prof. Jaesik Park.

Email:


Google Scholar | Github | LinkedIn

Yonsei University
2020-2024		 University of Toronto
2022-2023		 UC San Diego
2024-2026		 University of Maryland
2026-

News
Jan 2026 I will be joining Nokia Bell Labs as a research intern this summer.
Sep 2025 One paper accepted to NeurIPS 2025.

Research
My research lies at the intersection of 3D/4D computer vision and robotics, where I aim to build computational systems capable of human-like scene understanding. These systems perceive complex environments and construct world models that capture both visual appearance and physical dynamics. My current research focus is on physics-grounded world models and their applications to robot manipulation and navigation.

Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
Hyunjin Kim, Haebeom Jung, Jaesik Park
Conference on Neural Information Processing Systems (NeurIPS), 2025
Paper | Project Page | Code | bibtex 
@inproceedings{
  kim2025metropolishastings,
  title={Metropolis-Hastings Sampling for 3D Gaussian Reconstruction},
  author={Hyunjin Kim and Haebeom Jung and Jaesik Park},
  booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems},
  year={2025}
}
Visual Acoustic Fields
Yuelei Li, Hyunjin Kim, Fangneng Zhan, Ri-Zhao Qiu, Mazeyu Ji, Xiaojun Shan, Xueyan Zou, Paul Liang, Hanspeter Pfister, Xiaolong Wang
CVPR 3rd Workshop on Generative Models for Computer Vision, 2025
Paper | Project Page | Dataset | bibtex 
@article{li2025visual,
  title={Visual acoustic fields},
  author={Li, Yuelei and Kim, Hyunjin and Zhan, Fangneng and Qiu, Ri-Zhao and Ji, Mazeyu and Shan, Xiaojun and Zou, Xueyan and Liang, Paul and Pfister, Hanspeter and Wang, Xiaolong},
  journal={arXiv preprint arXiv:2503.24270},
  year={2025}
}
sym
Can Separators Improve Chain-of-Thought Prompting?
Yoonjeong Park*, Hyunjin Kim*, Chanyeol Choi, Junseong Kim, Jy-yong Sohn
IEEE International Conference on Foundation and Large Language Models, 2024
(Oral Presentation)
Paper | Code | bibtex 
@inproceedings{park2024can,
  title={Can separators improve chain-of-thought prompting?},
  author={Park, Yoonjeong and Kim, Hyunjin and Choi, Chanyeol and Kim, Junseong and Sohn, Jy-Yong},
  booktitle={2024 2nd International Conference on Foundation and Large Language Models (FLLM)},
  pages={493--500},
  year={2024},
  organization={IEEE}
}

Projects
Qualcomm RB3 Color Cube Perception and Grasping
Hyunjin Kim*, Woojeh Chung*, Jeongeun Lee*
Supervised by Henrik I. Christensen, Sriraj Kandala, Ramakrishna Kintada
Qualcomm University Relations Platforms Symposium, 2025
Project Video | Code | LinkedIn Post
Qualcomm RB5 MBot Control and Navigation
Hyunjin Kim*, Sohyun Yoo*
UCSD CSE 276A: Introduction to Robotics, 2024
Project Videos | Code

Template based on this amazing website.