Automatically discovering common visual patterns from a collection of images is an interesting but yet challenging task, in part because it is computationally prohibiting. Althoug...
In this article an autonomous visual perception framework for humanoids is presented. This model-based framework exploits the available knowledge and context acquired during global...
David Israel Gonzalez-Aguirre, S. Wieland, Tamim A...
Traditional network visualization tools inherently suffer from scalability problems, particularly when such tools are interactive and web-based. In this paper we introduce WiGis â...
Brynjar Gretarsson, Svetlin Bostandjiev, John O'Do...
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
In this paper we propose a paradigm called the Interactive Visual Dialog (IVD) as a means of facilitating a system's ability to recognize objects presented to it by a human. ...