In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
Our goal is to incorporate polarization in appearancebased modeling in an efficient and meaningful way. Polarization has been used in numerous prior studies for separating diffuse...
Oana G. Cula, Kristin J. Dana, Dinesh K. Pai, Dong...
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...