![]() So, if we are to understand how information is acquired, manipulated, and used to solve decision and control tasks, vision is a natural starting point.īut what is visual "information"? How can we acquire an "informative" representation of the physical space around us? What are the fundamental principles that the design of such a representation should abide to? Representation learning is in its infancy, and we are developing the fundamental building block to analyze and design them, as well as for using them for decision and control. Almost half of the primate brain is devoted to processing visual "information". Whether for transportation (autonomous vehicles), medicine (medical image analysis and intervention), entertainment (AR/VR) or other applications, this requires "understanding" the surrounding space, including other agents and objects within. ![]() We are interested in building engineering systems that interact intelligently with the environment.
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