Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Surveillance of large areas of the Earths surface is often undertaken with low resolution synthetic aperture radar (SAR) imagery from either a satellite or a plane. There is a nee...
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Interactive image segmentation is a powerful paradigm that allows users to direct the segmentation algorithm towards a desired output. However, marking scribbles on multiple image...