We propose Unsteady Flow Advection–Convolution (UFAC) as a novel visualization approach for unsteady flows. It performs time evolution governed by pathlines, but builds spatial...
This paper introduces a tensor framework for image-based rendering. In particular, we develop an algorithm called TensorTextures that learns a parsimonious model of the bidirectio...
Sampling is a core process for a variety of graphics applications. Among existing sampling methods, blue noise sampling remains popular thanks to its spatial uniformity and absenc...
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human ap...
The Multi-Head, Multi-Tail, Multi-Client (MMM) Browsing Project is a continuing effort to bring stronger graph semantics to the World Wide Web thereby increasing the Web's us...
Michael V. Capps, Brian C. Ladd, P. David Stotts, ...