activity
20192026
most citedDirect Volume Rendering with Nonparametric Models of Uncertainty

32 citations · 50 across the 14 of their papers we have counts for

collaborators
Showing cs.GRShow all

7 papers · 1 filter

cs.GR2024★ 1 cited

Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods

Timbwaoga A. J. Ouermi, Jixian Li, Tushar Athawale +1

Isosurface visualization is fundamental for exploring and analyzing 3D volumetric data. Marching cubes (MC) algorithms with linear interpolation are commonly used for isosurface ex…

cs.GR2024

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…

cs.GR2024

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…

cs.GR2021

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…

cs.GR2021

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…

cs.GR2020★ 32 cited

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…

cs.GR2019★ 2 cited

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…