😃 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
- 2024.09: 🎉🎉 One paper accepted to NeurIPS 2024
- 2024.09: 🎉🎉 One paper accepted to EMNLP 2024
- 2024.07: 🎉🎉 Two papers accepted to ECCV 2024
- 2024.05: 🎉🎉 One paper accepted to ICML 2024
- 2023.12: 🎉🎉 One paper accepted to ICASSP 2024
- 2023.10: 🎉🎉 One paper accepted to ICCV 2023
📝 Conference Publications
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
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
- 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 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
- Journal Reviewer: IEEE TPAMI