Volumetric energy backprojection captures the effects of myriad physical processes including global illumination and reconstruction. We present a method to perform efficient volu...
The NetSolve project, underway at the University of Tennessee and at the Oak Ridge National Laboratory, allows users to access computational resources distributed across the netwo...
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...