Scholar
Jaejun Yoo
Google Scholar ID: 7NBlQw4AAAAJ
Associate Professor, Laboratory of Advanced Imaging Technology (LAIT), UNIST
Citations & Impact
Citations
7,890
H-index
20
i10-index
30
Publications
20
Co-authors
34
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received the Outstanding Early Career Researcher Award from IEIE AISP Society in 2025.
- Multiple papers accepted to top-tier conferences including ICCV 2025, CVPR 2025, MICCAI 2025, IJCAI 2025, ICLR 2025, AAAI 2025, and ECCV 2024.
- Team secured 3rd place in the Multimodal Arial View Imagery Classification Challenge at CVPR 2025.
- Achieved 3rd place among 77 teams in the Multimodal Semantic Segmentation Challenge 2024 at IEEE WHISPERS.
- Awarded one Bronze Best Paper Award and two Best Poster Awards at IPIU 2025.
Background
- Aims to go beyond human perception, modeling and understanding the world we see and sense with greater precision.
- Believes generative models are the most powerful—and indeed the only—solution for building systems that understand the world.
- Focuses on developing interpretable, efficient, intuitive, and easy-to-use imaging algorithms rather than merely pursuing high performance.
- Combines the rigor of signal processing with the creativity of machine learning to build algorithms that analyze and synthesize images, audio, and video, constructing comprehensive 'world models'.
- Seeks to uncover mathematical insights and reveal the beauty of hidden patterns in nature, pushing the frontier of signal modeling and interpretation.
