15 citations · 36 across the 16 of their papers we have counts for
4 papers · 1 filter
Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead
Zhe Wang, Kenneth Moreland, Matthew Larsen +3
Particle advection is one of the foundational algorithms for visualization and analysis and is central to understanding vector fields common to scientific simulations. Achieving ef…
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
Robert Sisneros, Tushar M. Athawale, David Pugmire +1
We present a simple comparative framework for testing and developing uncertainty modeling in uncertain marching cubes implementations. The selection of a model to represent the pro…
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani, Chitwan Goel, Shrey Bansal +5
The increasing adoption of Deep Neural Networks (DNNs) has led to their application in many challenging scientific visualization tasks. While advanced DNNs offer impressive general…
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models
Tushar M. Athawale, Zhe Wang, David Pugmire +5
This paper presents a novel end-to-end framework for closed-form computation and visualization of critical point uncertainty in 2D uncertain scalar fields. Critical points are fund…