Pawan Kumar

 

 


 

Pawan Kumar is an assistant professor at Ecole Centrale Paris, where he is a member of the Center for Visual Computing and the GALEN team at INRIA-Saclay. His research interests include computer vision, machine learning and discrete optimization. He is especially interested in learning and inference for probabilistic models of high-level vision tasks.

More info: http://www.centrale-ponts.fr/personnel/pawan/




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Jan 10th 2014

We will present the state of the art energy minimization algorithms that are used to perform inference in modern artificial vision models: that is, efficient methods for obtaining the most likely interpretation of a given visual input. We will also cover the popular max-margin framework for estimating the model parameters using inference.

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