😃 About me
I’m a Ph.D. student at Artificial Intelligence & Machine Learning (U-AIM) Lab. in KAIST, under the supervision of Prof. Chang D. Yoo. My primary research interests focus on the application of generative models in the field of computer vision. I have conducted research in image/video editing and am particularly interested in extending this work to areas such as 3D vision and interactive applications to enhance user experience.
My research interest includes:
- Computer Vision
- Generative Models
- Large Language Models (LLMs)
🔥 News
- 2025.02: 🎉🎉 One paper accepted to CVPR 2025
- 2024.09: 🎉🎉 One paper accepted to NeurIPS 2024
- 2024.09: 🎉🎉 One paper accepted to EMNLP 2024
- 2024.07: 🎉🎉 Two papers accepted to ECCV 2024
📝 Conference Publications
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
CVPR 2025
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo
NeurIPS 2024
Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo
EMNLP 2024 (Findings)
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo
ECCV 2024
![[poster]](https://eccv2024.ecva.net/media/PosterPDFs/ECCV%202024/666.png?t=1726421397.177207){kind=link}
Dilutional Noise Initialization for Dilution Video Editing
Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo
ECCV 2024
FRAG: Frequency Adapting Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo
ICML 2024
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo
ICASSP 2024
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval
Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo
ICCV 2023
🎖 Honors and Awards
- 2024.10 1st Prize 2nd Seoul National University Bundang Hospital (SNUBH) Datathon Award
- 2023.11 Best Paper Award, Winter Conference, Korean Artificial Intelligence Association (JKAIA), 2023
- 2022.09 TensorFlow Developer Certificate
- 2019.10 Bronze Award in 2019 International University Student Creative Car Competition, in Autonomous Driving
📖 Educations
- 2024.09 - Present, Ph.D. in Electrical Engineering. (KAIST)
- 2023.03 - 2024.08, M.S. in Electrical Engineering (Devision of Future Vehicle). (KAIST)
- 2017.03 - 2023.02, B.S. in Electric Engineering. (DGIST)
🎯 Projects
- 2023 - 2025, Oriented Object Detection in Optical Remote Sensing Image, Hanwha Systems
🎨 Academic Services
- Conference Reviewer: ECCV’24, ICASSP’25, CVPR’25, ICML’25, SIGGRAPH’25
- Journal Reviewer: IEEE TPAMI
✏️ Teaching Assistant
- [EE531] Statistical Learning Theory: 2025 Spring
- [EE331] Introduction to Machine Learning: 2024 Fall