We study the object localization problem in images given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been ...
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
Caching techniques have been an efficient mechanism for mitigating the effects of the processor-memory speed gap. Traditional multi-level SRAM-based cache hierarchies, especially...
Computer users with motor impairments face major challenges with conventional mouse pointing. These challenges are mostly due to fine pointing corrections at the final stages of t...
Leah Findlater, Alex Jansen, Kristen Shinohara, Mo...