32 citations · 72 across the 13 of their papers we have counts for
14 papers
Estimating and using information in inverse problems
Wolfgang Bangerth, Chris R. Johnson, Dennis K. Njeru +1
In inverse problems, one attempts to infer spatially variable functions from indirect measurements of a system. To practitioners of inverse problems, the concept of "information" i…
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models
Tushar M. Athawale, Chris R. Johnson, Sudhanshu Sane +1
Visualization and analysis of multivariate data and their uncertainty are top research challenges in data visualization. Constructing fiber surfaces is a popular technique for mult…
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles
Mengjiao Han, Tushar M. Athawale, David Pugmire +1
Visualizing the uncertainty of ensemble simulations is challenging due to the large size and multivariate and temporal features of ensemble data sets. One popular approach to study…
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning
Mengjiao Han, Sudhanshu Sane, Chris R. Johnson
Time-varying vector fields produced by computational fluid dynamics simulations are often prohibitively large and pose challenges for accurate interactive analysis and exploration.…
Uncertainty Visualization of the Marching Squares and Marching Cubes Topology Cases
Tushar M. Athawale, Sudhanshu Sane, Chris R. Johnson
Marching squares (MS) and marching cubes (MC) are widely used algorithms for level-set visualization of scientific data. In this paper, we address the challenge of uncertainty visu…
Statistical Rendering for Visualization of Red Sea Eddy Simulation Data
Tushar M. Athawale, Alireza Entezari, Bei Wang +1
Analyzing the effects of ocean eddies is important in oceanology for gaining insights into transport of energy and biogeochemical particles. We present an application of statistica…
Data-Driven Space-Filling Curves
Liang Zhou, Chris R. Johnson, Daniel Weiskopf
We propose a data-driven space-filling curve method for 2D and 3D visualization. Our flexible curve traverses the data elements in the spatial domain in a way that the resulting li…
A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls
Mengjiao Han, Ingo Wald, Will Usher +4
We present dw2, a flexible and easy-to-use software infrastructure for interactive rendering of large tiled display walls. Our library represents the tiled display wall as a single…
Direct Volume Rendering with Nonparametric Models of Uncertainty
Tushar Athawale, Bo Ma, Elham Sakhaee +2
We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statis…
Digesting the Elephant -- Experiences with Interactive Production Quality Path Tracing of the Moana Island Scene
Ingo Wald, Bruce Cherniak, Will Usher +8
New algorithmic and hardware developments over the past two decades have enabled interactive ray tracing of small to modest sized scenes, and are finding growing popularity in scie…
Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps
Tushar Athawale, Dan Maljovec, Chris R. Johnson +2
Morse complexes are gradient-based topological descriptors with close connections to Morse theory. They are widely applicable in scientific visualization as they serve as important…
Spectral Visualization Sharpening
Liang Zhou, Rudolf Netzel, Daniel Weiskopf +1
In this paper, we propose a perceptually-guided visualization sharpening technique. We analyze the spectral behavior of an established comprehensive perceptual model to arrive at o…
Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes
Paul Rosen, Anil Seth, Betsy Mills +5
The current generation of radio and millimeter telescopes, particularly the Atacama Large Millimeter Array (ALMA), offers enormous advances in observing capabilities. While these a…
Research and Education in Computational Science and Engineering
Ulrich Rüde, Karen Willcox, Lois Curfman McInnes +30
Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance…