Strategies for General Recognition

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• Derek Hoiem, University of Illinois at Urbana-Champaign
• Tuesday 20 August 2013, 13:30-14:30
• Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

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One of the major challenges in computer vision is general recognition, the ability to infer useful properties of objects within sight. It’s a slippery problem whose solution depends on the details of a particular situation—what do I want to know, what kind of object, how similar to those I have seen before. I’ll present the work from my group over the past few years on how to organize and infer knowledge of objects, with a focus on generalizing to new types of objects, providing details, and learning models of parts. I will highlight some lessons learned and also point to problems uncovered.

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

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