Patients’ basic understanding of clinical events has been shown to dramatically improve patient care. We propose that the automatic generation of very short microexplanations, s...
Lauren Wilcox, Dan Morris, Desney S. Tan, Justin G...
We propose a novel trap-based architecture for enterprise networks that detects “silent” attackers who are eavesdropping network traffic. The primary contributions of our work...
Brian M. Bowen, Vasileios P. Kemerlis, Pratap V. P...
We study the problem of generating plausible interpretations
of a scene from a collection of line segments automatically
extracted from a single indoor image. We show that
we ca...
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
Abstract. In this paper, we investigate brain hallucination, or generating a high resolution brain image from an input low-resolution image, with the help of another high resolutio...