In this paper we present the first public key encryption scheme that is structure preserving, i.e., our encryption scheme uses only algebraic operations. In particular it does not...
Jan Camenisch, Kristiyan Haralambiev, Markulf Kohl...
We introduce a new concept of co-recognition for object-level image matching between an arbitrary image pair. Our method augments putative local regionmatches to reliable object-...
Minsu Cho (Seoul National University), Young Min S...
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
We formulate multi-view 3D shape reconstruction as the computation of a minimum cut on the dual graph of a semiregular, multi-resolution, tetrahedral mesh. Our method does not ass...
Sudipta N. Sinha, Philippos Mordohai, Marc Pollefe...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...