✨ Visual AI Lab @KHU

Visual AI Lab.

About Us

We Build AI that Sees and Understands the World.

Our lab bridges the gap between visual perception and real-world understanding. Driven by advanced Computer Vision and Multimodal AI, our research equips machines to truly understand complex real-world environments. Our research spans Multimodal Learning for joint vision-language-audio understanding, Autonomous Driving Perception for safe scene understanding, and Multi-task Learning for efficient shared representations. Through these core technologies, we build intelligence that perceives, reasons, and interacts with the world.

Campus

News

Our Latest Updates
Jun 2026

3 papers are accepted to ECCV 2026. Congratulations!

May 2026

Prof. Jung Uk Kim will serve as an Area Chair for NeurIPS 2026.

Feb 2026

5 papers are accepted to CVPR 2026 (1 Highlight, 3 Main, 1 Findings). Congratulations!

Feb 2026

1 paper is accepted to Medical Image Analysis (JCR: 1.6%, IF: 11.8). Congratulations!

Nov 2025

4 papers are accepted to AAAI 2026 (1 Oral Presentation). Congratulations!

May 2025

1 paper is accepted to IEEE TMM (JCR: 3.7%, IF: 8.4). Congratulations!

Feb 2025

1 paper is accepted to CVPR 2025. Congratulations!

Dec 2024

1 paper (with amilab@KHU) is accepted to IEEE TCSVT (JCR: 5.5%, IF: 8.3). Congratulations!

Dec 2024

2 papers are accepted to AAAI 2025. Congratulations!

Jul 2024

3 papers (1 with agi@KHU) are accepted to ECCV 2024. Congratulations!

Feb 2024

1 paper is accepted to CVPR 2024. Congratulations!

Dec 2023

1 paper (Kyu Ri Park* and Youngmin Oh*) is accepted to ICASSP 2024. Congratulations!

Oct 2023

1 paper is accepted to IEEE TNNLS (JCR: 4.0%, IF: 10.2).

Jul 2023

1 paper is accepted to ACM MM 2023. Congratulations!

Opportunities

We Are Recruiting Students & Interns

We are looking for highly motivated MS / PhD students and research interns passionate about computer vision and multimodal AI research. Send your CV, transcripts, and a brief description of your research interests.