Multimodal AI Lab

Previous Next

Multimodal AI Lab @ EWHA (PI: Jiyoung Lee) focuses on developing robust and generalizable AI models that reason and generate information across multiple modalities—vision, audio, language, and robotics. Our research spans multimodal large language models (MLLMs), agentic systems, robotics, multimodal generation, video understanding, 3D perception, cross-modal grounding, but not limited to. We build multimodal systems that learn with minimal supervision and perform reliably in diverse, real-world settings. We aim to push the boundaries of multimodal learning and create AGI that is creative, effective, and efficient.

Recruiting Undergraduate Interns/ Graduate Students / Postdoctoral Researchers: We are looking for undergraduate interns, graduate students, and postdoctoral researchers to research with! If you are interested in doing cool multimodal learning research, please send your CV and GPA to .

News