I am a Research Officer at the Agency for Defense Development, Korea's national defense R&D agency (akin to DARPA) and a First Lieutenant in the Republic of Korea Army. I received my B.S. from DGIST's Interdisciplinary Program, concentrating in Computer Science & Engineering.
Research Interests
My research lies at the intersection of computer vision and robotics, aiming to enable agents to generalize to novel scenarios and execute long-horizon tasks. I am currently developing unified representations that integrate dynamic 3D geometry with open-world semantics. These representations are designed to serve as both predictive world models and spatial memory for policy learning.
My research encompasses three key areas:
1. Spatio-Temporal Scene Modeling (Ongoing)
: Modeling scene dynamics from online observations
2. Vision–Language Representations (ECCV`24)
: Learning open-world semantics that generalize to novel scenarios
3. Implicit Neural Representations (CVPR`23)
: Reconstructing continuous scene representations from sensor data
Publications
Ongoing Projects
Submitted to ICLR 2026
Title Anonymized for Double-Blind Review
Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu
We propose a image-text representation learning method that enables fine-grained multimodal understanding without extra annotations.
Experience
First Lieutenant
Mar 2023 – Present- Selected as one of 20 research officers nationwide (1 of 4 in CSE) dedicated to STEM research for national defense
Research Officer for National Defense
Mar 2023 – PresentAgency for Defense Development (ADD)
Manager: Dr. Eunjin Koh/Advisor: Dr. Hoseong Kim
- Investigated and improved domain generalization for reliable infrared imagery object detection in data-scarce settings (1 publication in ECCV 2024)
- Constructed synthetic datasets for rare/low-visibility targets via diffusion models and accelerated the generation process (1 publication in NeurIPS 2025)
Undergraduate Research Intern
Dec 2021 – Feb 2023Image Processing Laboratory @ DGIST
Advisor: Prof. Kyong Hwan Jin
- Researched implicit neural representations (INRs) for solving inverse problems and proposed a B-Spline INR super-resolution algorithm (1 publication in CVPR 2023)
Education
Daegu Gyeongbuk Institute of Science and Technology (DGIST)
B.S. in Engineering (Interdisciplinary Program)Mar 2019 – Feb 2023
University of California, Berkeley (UCB)
Visiting Student (Freshman Global Leadership Program)Jul 2019 – Aug 2019