Multimodal learning systems

This program aims to advance the theory and practice of multimodal learning systems across data modalities and application domains. Its research pillars include multimodal representation learning, foundation models integrating vision, language and other modalities, cross-modal alignment and reasoning, scalable training methodologies, and real-world multimodal applications.