Object localization and classification are important problems in computer vision.
However, in many applications, exhaustive search over all class labels and image
locations is co...
Most global motion estimation (GME) methods are oriented to video coding while video object segmentation either assume no global motion (GM) or directly adopt a codingoriented met...
We present a computationally efficient method for estimating the trifocal tensor corresponding to three images acquired by a freely moving camera. The proposed method represents p...
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
We present a formulation of retiming to minimize the number of registers in a design by iterating a maximum network flow problem. The retiming returned will be the optimum one whi...
Aaron P. Hurst, Alan Mishchenko, Robert K. Brayton