About the lab
Perceiving, Predicting,
& Interacting.
Our research addresses the theoretical foundations and practical applications of computer vision and machine learning for an embodied AI to perceive, predict and interact with the dynamic environment around it.
Our interest lies in discovering and proposing the fundamental principles, algorithms and practical implementations for solving high-level visual perception such as:
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Object and scene understanding and reconstruction.
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Prediction and reasoning about human motion, activity and behaviour in the presence of physical and social interactions.
Our overarching aim is to develop an end-to-end perception system for an embodied agent to learn, perceive and act simultaneously through interaction with the dynamic world.
Latest Project
