Hyunjin Kim

I am a MS student in Computer Science at UC San Diego, where I am advised by Prof. Xiaolong Wang.

Before that, I received my BS in Urban Planning and Engineering and Computer Science and Engineering from Yonsei University. During my undergraduate studies, I was advised by Prof. Jaesik Park at Seoul National University, and was an exchange student at the University of Toronto, where I worked with Prof. Florian Shkurti.

Email:


Actively Seeking PhD Positions for Fall 2026!

How to pronounce my name

My first name is pronounced "He-un-jin," with the "He-un" part spoken quickly. I'm also known as my nickname HJ, but I prefer to be called Hyunjin. My name in Korean is 김현진.

Google Scholar /  Linkedin /  Github /  CV

profile photo
News

[Sep '25]  

 One paper on 3DGS sampling is accepted to NeurIPS 2025!
My research interests encompasses 3D computer vision, machine learning, and robotics. My research goal is to build computational models that can perceive and understand objects and environments as well as humans do. To this extent, my research focuses on developing efficient generalizable 3D/4D scene reconstruction methods and spatial 3D/4D scene reasoning methods for Embodied AI. I am also dedicated to Robotic Simulation and Multimodal Scene Reconstruction.

(* denotes equal contribution)
Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
Hyunjin Kim, Haebeom Jung, Jaesik Park
Neural Information Processing Systems (NeurIPS), 2025
Paper / Website / Code

We introduce a reformulation of 3D Gaussian Splatting (3DGS) as a Metropolis-Hastings sampling process, replacing its heuristic-based densification with a probabilistic, adaptive mechanism.
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 2025 3rd Workshop on Generative Models for Computer Vision
Paper / Website / Data / Code

We introduce Visual Acoustic Fields, a framework that bridges hitting sounds and visual signals within a 3D space using 3D Gaussian Splatting.
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 (FLLM), 2024
Paper / Code

We present CoT-SEP, which includes separators between exemplars in Chain-of-Thought Prompting. CoT-SEP enhances LLM's reasoning ability with the simplest setup.
M.S. in Computer Science | University of California San Diego
Sep. 2024 - June 2026 (expected)

B.S. in Urban Planning and Engineering, Computer Science and Engineering | Yonsei University
Mar. 2020 - Aug. 2024

  • Exchange Student at University of Toronto, 2022-23
  • Google Developer Student Clubs (GDSC) Solution Challenge Top 100 Finalist, 2024
  • Inclusion@RSS Fellowship, Robotics: Science and Systems (RSS), 2023
  • Honors, Yonsei University, 2021 & 2024
  • High Honors, Yonsei University, 2022
  • Jilli (Merit-Based) Scholarship, Yonsei University, 2021-22

Instructor, QI AI Entrepreneurship Program, Qualcomm Institute (CalIT2), July-Aug 2025

Hobbies: I love to travel around the world and take pictures! I also enjoy running in my free time.
My profile pic was taken during a trip at Sedona, Arizona by my friend Woojeh Chung.


Website based on the template here and here.