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.
My research encompasses three key areas:
1. Spatiotemporal Scene Representations (Ongoing)
: Modeling scene dynamics from online observations
2. Vision-Language Representations [ECCV 2024]
: Learning open-world semantic representations that enable generalization
3. Implicit Neural Representations [CVPR 2023]
: Reconstructing continuous scene representations from sensor data

Publications

NeurIPS 2025

Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration

Yunghee Lee, Byeonghyun Pak, Junwha Hong, Hoseong Kim

ECCV 2024

Textual Query-Driven Mask Transformer for Domain Generalized Segmentation

Byeonghyun Pak*, Byeongju Woo*, Sunghwan Kim*, Dae-hwan Kim, Hoseong Kim

CVPR 2023

🏆 Highlight (Top 2.5%)

B-spline Texture Coefficients Estimator for Screen Content Image Super-Resolution

Byeonghyun Pak*, Jaewon Lee*, Kyong Hwan Jin

Ongoing Projects

Active

4D Neural Implicit Mapping

We build dense representations to jointly encode geometric structure and high-level semantics of dynamic environments.

Under review (2025)

Aligning Forest and Trees in Images and Long Captions for Cross-Domain Grounding

Byeongju Woo, Zilin Wang, Byeonghyun Pak, Sangwoo Mo, Stella X. Yu

We propose a hierarchical vision-language model that enables fine-grained multimodal understanding without extra annotations.

Experience

Research Officer for National Defense

Manager: Dr. Eunjin Koh/Advisor: Dr. Hoseong Kim
  • Developed object detection models for surveillance UAVs
  • Worked on domain generalization with vision-language models [ECCV 2024]
  • Worked on image & video diffusion models [NeurIPS 2025]

Undergraduate Research Intern

Advisor: Prof. Kyong Hwan Jin
  • Worked on implicit neural representations (INRs) for super-resolution [CVPR 2023]

Education

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

B.S. in Engineering, School of Undergraduate StudiesFeb 2019 – Feb 2023

University of California, Berkeley (UCB)

Summer Visiting StudentJul 2019 – Aug 2019