Our research is organized into four connected areas, each with its own methodological strengths and application focus.
Computer Vision
Research on perception, visual representation learning, scene understanding, and generative vision models.
Natural Language Processing
Research on language understanding, generation, grounding, and multimodal interaction.
Multi-Agent Systems
Research on cooperation, planning, communication, and decentralized intelligence across agents.
Large Language Models
Research on foundation models, alignment, efficient adaptation, and scientific use of large models.
