Functional neuroimaging technologies have transformed cognitive neuroscience by enhancing our understanding of the functional subclassification of brain regions. Whilst a number of...
Daniel Richard Leff, Peck Hui Koh, Rajesh Aggarwal...
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Abstract— In this paper we propose a fully asynchronous, timebased image sensor, which is characterized by high temporal resolution, low data rate (near complete temporal redunda...
Christoph Posch, Daniel Matolin, Rainer Wohlgenann...
This paper examines how computation can be mapped across the nodes of a distributed search system to effectively utilize available resources. We specifically address computationa...
Larry Huston, Alex Nizhner, Padmanabhan Pillai, Ra...
Finding geometric and photometric relation among images is crucial in many computer vision tasks such as panoramic imaging, high dynamic range imaging, stereo imaging, and change ...