Humans see the world in rich social detail. In just a fraction of a second, we not only detect the objects and people in our environment, but also quickly recognize people’s emotions, goals, actions, and social interactions. Detecting these higher level properties is extremely challenging even for state-of-the-art computer vision systems. How do humans extract all of this complex information with such speed and ease?

 

Our research aims to answer this question using a combination of human neuroimaging, intracranial recordings, behavior, and machine learning/artificial intelligence. Much of our research focuses on understanding human action and social interaction recognition. For an overview of our recent research, you check out our publications or this recording of Leyla's keynote at CCN 2024.

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