Origami is a paper art used to create three-dimensional (3D) objects by cutting and folding a single sheet of paper. Origami is labor-intensive and requires a high skill level to generate two-dimensional (2D) objects that pop-up into realistic 3D objects. However, this special feature makes designing an origami architecture procedure challenging. This paper provides a novel algorithm to create ...

In the Computer Vision Laboratory our work spans from basic scientific research to industrial projects, but our interest in wider impact of such technology on society and the interest in contemporary art, brought our attention also to the applicative field of use of computer vision methods in art. And art is definitely a perfect testbed for our research. The talk will walk us through a few proj...

Independent deeply learned matrix analysis (IDLMA) is a state-of-the-art determined audio source separation method based on pretrained deep neural networks (DNNs). Owing to the excellent expression power of DNNs, IDLMA can handle wider range sources than conventional models such as nonegative factorization (NMF). However, owing its supervised nature, performance often degrades in presence timbr...

In this paper, we exploit two characteristics of stereoscopic vision: the pop-out effect and the comfort zone. We propose a visual saliency prediction model for stereoscopic images based on stereo contrast and stereo focus models. The stereo contrast model measures stereo saliency based on the color/depth contrast and the pop-out effect. The stereo focus model describes the degree of focus base...

In this report we propose to use the daily traceroute data generated by iPlane [9] to improve the reliability of the Internet paths. Previous work put forth a simple idea of using an overlay network of intermediary detour nodes that can be used to route around failures on direct Internet paths [1]. We provide the mechanism for choosing these intermediary nodes. The underlying idea of our work i...