In this paper we introduce visual phrases, complex visual composites like “a person riding a horse”. Visual phrases often display significantly reduced visual complexity comp...
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
We have implemented a neurobiologically plausible system on a robot that integrates visual attention, object recognition, language and action processing using a coherent cortex-lik...
Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, H...
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...