• Multimodal foundation and world models
• Multimodal fusion, alignment, representation learning, co-learning, and transfer learning
• Joint learning of language, vision, and audio
• Multimodal commonsense and reasoning
• Multimodal healthcare
• Multimodal educational systems
• Multimodal RL and control
• Multimodal AI for science
• Multimodal and multimedia resources
• Multimodal dialogue, affect, and social intelligence
• Creative applications of multimodal learning in e-commerce, art, and other impact areas

The following are the keynotes for the workshop.

Dr. Kristen Grauman

Professor of Computer Science at the University of Texas at Austin. IEEE Fellow, AAAS Fellow, AAAI Fellow, Sloan Fellow, and Microsoft Research New Faculty Fellow. Recipient of NSF CAREER, ONR Young Investigator, PAMI Young Researcher (2013), IJCAI Computers and Thought (2013), PECASE (2013).

Dr. Amir Zamir

Assistant Professor of Computer Science at EPFL. Research in computer vision, machine learning, and perception-for-robotics. Recognitions include CVPR 2018 Best Paper, CVPR 2016 Best Student Paper, CVPR 2020 Best Paper Nomination, and NVIDIA Pioneering Research Award 2018.

Dr. Dorsa Sadigh

Assistant Professor of Computer Science at Stanford University. Research at the intersection of robotics, machine learning, and human-AI interaction. Awards include Sloan Fellowship, NSF CAREER, ONR YIP, AFOSR YIP, DARPA YFA, Okawa Foundation Fellowship, MIT TR35, and IEEE RAS Early Academic Career Award.

Submit your workshop paper via the official portal. Please follow the conference formatting guidelines.

Open Submission Portal (TBD)

The day-of workshop schedule.