Hyojin Jang

Ph.D. Student at KAIST

Kim Jaechul Graduate School of AI

wkdgywlsrud [AT] kaist.ac.kr

About

Hi! I am a Ph.D. student advised by Professor Jaegul Choo at KAIST Kim Jaechul Graduate School of AI.
I work on and am interested in Robotics, World Models, and World Action Models.

On going Project

I am a researcher at DAVIAN Robotics, working on world action models that unify perception, prediction, and control for real-world manipulation.

Publications

(*: Equal contribution, C: Conference, U: Under review).

[U1] Unified Latents for World Action Model thumbnail

[U1] Unified Latents for World Action Model

Junha Hyung*, Hyojin Jang*, Jaegul Choo

Under Review, 2026.

[C6] 3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance

Dongyoon Hwang*, Byungkun Lee*, Dongjin Kim*, Hyojin Jang, Hoiyeong Jin, Jueun Mun, Minho Park, Hojoon Lee, Hyunseung Kim, Jaegul Choo

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.

[C5] ACG: Action Coherence Guidance for Flow-based VLA models thumbnail

[C5] ACG: Action Coherence Guidance for Flow-based VLA models

Minho Park*, Kinam Kim*, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, Jaegul Choo

IEEE International Conference on Robotics and Automation (ICRA), 2026.

[C4] InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion thumbnail

[C4] InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion

Hoiyeong Jin*, Hyojin Jang*, Junha Hyung*, Jeongho Kim, Kinam Kim, Dongjin Kim, Huijin Choi, Hyunji Kim, Jaegul Choo

European Conference on Computer Vision (ECCV), 2026.

[C3] AHS: Adaptive Head Synthesis via Synthetic Data Augmentations thumbnail

[C3] AHS: Adaptive Head Synthesis via Synthetic Data Augmentations

Taewoong Kang*, Hyojin Jang*, Sohyun Jeong*, Seunggi Moon, Gihwi Kim, Hoon Jin Jung, Jaegul Choo

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

[C2] Zero-Shot Head Swapping in Real-World Scenarios thumbnail

[C2] Zero-Shot Head Swapping in Real-World Scenarios

Taewoong Kang*, Sohyun Jeong*, Hyojin Jang*, Jaegul Choo

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Nashville TN, USA.

[C1] SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel-based Head Avatars thumbnail

[C1] SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel-based Head Avatars

Jaeseong Lee*, Taewoong Kang*, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo

The Thirteenth International Conference on Learning Representations (ICLR), 2025, Singapore.

Education

Korea Advanced Institute of Science and Technology (KAIST) Sep. 2025 - Current

Ph.D. in Artificial Intelligence (advised by Prof. Jaegul Choo)

Korea Advanced Institute of Science and Technology (KAIST) Mar. 2019 - Aug. 2024

B.S. in School of Computing, Electrical Engineering (double major)

Experience

Researcher Mar. 2025 - Current

DAVIAN Robotics (Vision-Language-Action, World Action Models)

Undergraduate Researcher May. 2024 - Feb. 2025

Data and Visual Analytics Lab (DAVIAN Lab) (advised by Prof. Jaegul Choo)

AI Research Intern Sep. 2022 - Feb. 2023

NC Soft Research