This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
We observe that everyday images contain dozens of objects, and that humans, in describing these images, give different priority to these objects. We argue that a goal of visual rec...
We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition ...
Sangmin Oh, Anthony Hoogs, A.G.Amitha Perera, Chia...
Abstract. In the European cognitive vision project VAMPIRE (IST2001-34401), mobile AR-kits are used for interactive teaching of a visual active memory. This is achieved by 3D augme...
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...