Visualization and visual analysis play important roles in exploring, analyzing, and
presenting scientific data. In many disciplines, data and model scenarios are becoming …

This article surveys the history and current state of the art of visualization in meteorology,
focusing on visualization techniques and tools used for meteorological data analysis. We …

Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

We present TSR-TVD, a novel deep learning framework that generates temporal super-
resolution (TSR) of time-varying data (TVD) using adversarial learning. TSR-TVD is the first …

In this state‐of‐the‐art report we discuss relevant research works related to the visualization
of complex, multi‐variate data. We discuss how different techniques take effect at specific …

We present a comprehensive system for weather data visualization. Weather data are
multivariate and contain vector fields formed by wind speed and direction. Several well …

Multi‐modal data of the complex human anatomy contain a wealth of information. To
visualize and explore such data, techniques for emphasizing important structures and …

Modern unsteady (multi-) field visualizations require an effective reduction of the data to be
displayed. From a huge amount of information the most informative parts have to be …

This paper presents an efficient algorithm for the computation of the Reeb space of an input
bivariate piecewise linear scalar function f defined on a tetrahedral mesh. By extending and …

We present V2V, a novel deep learning framework, as a general-purpose solution to the
variable-to-variable (V2V) selection and translation problem for multivariate time-varying …