I am interested in understanding and modeling aspects of human behavior using the modalities of vision and language.
I have worked on computational models for human interactions that are typical when interacting with other humans e.g., humor, narrative. I have also worked on understanding human interactions with AI, with the goal of creating better human-AI teams.
My current interests are in understanding embodied human behavior e.g., learning from natural interactions, semantic understanding of human movement, etc.
My work spans the areas of AI, machine learning, computer vision, natural language processing, crowdsourcing and cognitive science.
A computational model of early word learning from the infant's point of view S. Tsutsui, A. Chandrasekaran, M. Reza, D. Crandall, C. Yu
Annual Conference of the Cognitive Science Society (CogSci), 2020 (Talk)
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems