Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
We describe a technique for estimating human pose from an image sequence captured by a time-of-flight camera. The pose estimation is derived from a simple model of the human body ...
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...