This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
In this paper we illustrate a methodology for modeling and analyzing flexible feeders using generalized semi-Markov process (GSMP) models. Working through the simple case consisti...
Michael S. Branicky, Greg C. Causey, Roger D. Quin...
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
Part Models Pablo Sala1 , Diego Macrini2 , and Sven Dickinson1 1 University of Toronto, 2 Queen's University Abstract. In recent work [1], we introduced a framework for modelr...