In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
Current processors are optimized for average case performance, often leading to a high worst-case execution time (WCET). Many architectural features that increase the average case...
Martin Schoeberl, Pascal Schleuniger, Wolfgang Puf...
Registration based on B-spline transformations has attracted much attention in medical image processing recently. Non-rigid registration provides the basis for many important techn...
Thomas H. Wenckebach, Hans Lamecker, Hans-Christia...