In the research area of automatic web information extraction, there is a need for permanent and annotated web page collections enabling objective performance evaluation of differen...
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
For many medical procedures 3D bone models are built from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) data, both of which are expensive and time consuming, and un...
Chris Baker, Christian Debrunner, William Hoff, Ja...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
For detecting objects in natural visual scenes, several powerful image features have been proposed which can collectively be described as spatial histograms of oriented energy. Th...