We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
We address the character identification problem in
movies and television videos: assigning names to faces on
the screen. Most prior work on person recognition in video
assumes s...
Timothee Cour, Benjamin Sapp, Akash Nagle, Ben Tas...
The paper discusses a panoramic vision system for autonomous navigation purposes. It describes a method for integrating data in real-time from multiple camera sources. The views f...