212 citations · 341 across the 17 of their papers we have counts for
17 papers
A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes
Alper Sahistan, Haichao Miao, Zhimin Li +3
Time-varying implicit neural representations (INRs) provide a compact representation of scientific volumes and, for modalities such as dynamic X-ray computed tomography (CT), are o…
May (A)I Beautify Your Visualization? Expert Judgments of Acceptable Aesthetic Alterations
Kalina Borkiewicz, Jixian Li, Joshua A. Levine +1
In 3D visualizations of natural phenomena, improving aesthetics can provide measurable benefits, but often involves transformations that affect how the data is perceived. As a grow…
Computing a Stable Distance on Merge Trees
Brian Bollen, Pasindu Tennakoon, Joshua A. Levine
Distances on merge trees facilitate visual comparison of collections of scalar fields. Two desirable properties for these distances to exhibit are 1) the ability to discern between…
Autoencoder-Aided Visualization of Collections of Morse Complexes
Jixian Li, Danielle Van Boxel, Joshua A. Levine
Though analyzing a single scalar field using Morse complexes is well studied, there are few techniques for visualizing a collection of Morse complexes. We focus on analyses that ar…
Reeb Graph Metrics from the Ground Up
Brian Bollen, Erin Chambers, Joshua A. Levine +1
The Reeb graph has been utilized in various applications including the analysis of scalar fields. Recently, research has been focused on using topological signatures such as the Re…
STFT-LDA: An Algorithm to Facilitate the Visual Analysis of Building Seismic Responses
Zhenge Zhao, Danilo Motta, Matthew Berger +5
Civil engineers use numerical simulations of a building's responses to seismic forces to understand the nature of building failures, the limitations of building codes, and how to d…
Particle Merging-and-Splitting
Nghia Truong, Cem Yuksel, Chakrit Watcharopas +2
Robustly handling collisions between individual particles in a large particle-based simulation has been a challenging problem. We introduce particle merging-and-splitting, a simple…
Compressive Neural Representations of Volumetric Scalar Fields
Yuzhe Lu, Kairong Jiang, Joshua A. Levine +1
We present an approach for compressing volumetric scalar fields using implicit neural representations. Our approach represents a scalar field as a learned function, wherein a neura…
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake
Justin Crum, Cyrus Cheng, David A. Ham +4
We present an implementation of the trimmed serendipity finite element family, using the open source finite element package Firedrake. The new elements can be used seamlessly withi…
Visualization of Unsteady Flow Using Heat Kernel Signatures
Kairong Jiang, Matthew Berger, Joshua A. Levine
We introduce a new technique to visualize complex flowing phenomena by using concepts from shape analysis. Our approach uses techniques that examine the intrinsic geometry of manif…
The Effect of Data Transformations on Scalar Field Topological Analysis of High-Order FEM Solutions
Ashok Jallepalli, Joshua A. Levine, Robert M. Kirby
High-order finite element methods (HO-FEM) are gaining popularity in the simulation community due to their success in solving complex flow dynamics. There is an increasing need to…
Extending discrete exterior calculus to a fractional derivative
Justin Crum, Joshua A. Levine, Andrew Gillette
Fractional partial differential equations (FDEs) are used to describe phenomena that involve a "non-local" or "long-range" interaction of some kind. Accurate and practical numerica…
NeuralCubes: Deep Representations for Visual Data Exploration
Zhe Wang, Dylan Cashman, Mingwei Li +5
Visual exploration of large multidimensional datasets has seen tremendous progress in recent years, allowing users to express rich data queries that produce informative visual summ…
Topological Data Analysis Made Easy with the Topology ToolKit
Guillaume Favelier, Charles Gueunet, Attila Gyulassy +8
This tutorial presents topological methods for the analysis and visualization of scientific data from a user's perspective, with the Topology ToolKit (TTK), a recently released ope…
The Topology ToolKit
Julien Tierny, Guillaume Favelier, Joshua A. Levine +2
This system paper presents the Topology ToolKit (TTK), a software platform designed for topological data analysis in scientific visualization. TTK provides a unified, generic, effi…
A Generative Model for Volume Rendering
Matthew Berger, Jixian Li, Joshua A. Levine
We present a technique to synthesize and analyze volume-rendered images using generative models. We use the Generative Adversarial Network (GAN) framework to compute a model from a…
Visualizing Time-Varying Particle Flows with Diffusion Geometry
Matthew Berger, Joshua A. Levine
The tasks of identifying separation structures and clusters in flow data are fundamental to flow visualization. Significant work has been devoted to these tasks in flow represented…