Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
The identiļ¬cation of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ļ...
We address the problem of detecting complex articulated objects and their pose in 3D range scan data. This task is very difficult when the orientation of the object is unknown, an...
Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, D...
In earlier work we have introduced and explored a variety of diļ¬erent probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...