We propose a new type of saliency – context-aware saliency
– which aims at detecting the image regions that represent
the scene. This definition differs from previous definit...
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual representation of that...
Shai Bagon, Or Brostovski, Meirav Galun, Michal Ir...
The paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance...
With the increasing demand for spoken language interfaces in human-computer interactions, automatic recognition of emotional states from human speeches has become of increasing im...