Computer Vision

In this article, we present a novel display that is created using a group of mobile robots.

Discriminative, or (structured) prediction, methods have proved effective for variety of problems in computer vision; a notable example is 3D monocular pose estimation.

In this work, we wanted to understand: (i) the practical impact of the motion blur effect on the player experience; and (ii) whether the value gained by including the effect is worth the extra cost in computation, real-time performance, development time, etc.

We present a computational design tool for creating physical characters using tensegrities — networks of rigid and elastic elements that are in static equilibrium.

We propose a compact data structure with cache-efficient memory layout for the representation of graph instances that are based on regular N-D grids with topologically identical neighborhood systems.

We propose an effective and efficient semi-supervised domain adaptation (SSDA) approach for addressing such more severe biases in the data.