We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
We present a hardware-accelerated adaptive EWA volume splatting algorithm. EWA splatting combines a Gaussian reconstruction kernel with a low-pass image filter for high image qual...
Wei Chen, Liu Ren, Matthias Zwicker, Hanspeter Pfi...
Inferring 3D body pose as well as viewpoint from a single silhouette image is a challenging problem. We present a new generative model to represent shape deformations according to...
Transactional Memory (TM) is being studied widely as a new technique for synchronizing concurrent accesses to shared memory data structures for use in multi-core systems. Much of ...