Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
From cartoons to medical research world, from the field of arts to scientific visualization, everyone related to these areas have been continuously using 3D motion capture data. Qu...
Manoj M. Pawar, Gaurav N. Pradhan, Kang Zhang, Bal...
We present a fast, robust, and low cost pupil detection technique that uses two near infra red time multiplexed light sources synchronized with the camera frame rate. The two ligh...
Carlos Hitoshi Morimoto, David Koons, Arnon Amir, ...
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...