25 citations · 51 across the 21 of their papers we have counts for
23 papers
DiffusionShadow: Diffusion-based Shadow Caching for Neural Volume Rendering
Kai-Chen Tung, Qi Wu, David Bauer +3
Implicit neural representations (INRs) have gained momentum in scientific visualization due to their compactness and scalability to large datasets, making them well suited for inte…
3D Field Data Reduction with Adaptive Sample-Based Gaussian-Encoded Reconstruction
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
In scientific simulation, regular grids, unstructured meshes, and particle-based formats are chosen to represent field data for computational efficiency, geometry/adaptive flexibil…
Fixed-Budget Gaussian Volume Encoding with Structure-Aware Allocation
Michael R. Martin, Joseph Insley, Victor A. Mateevitsi +2
Scientific simulations often produce scalar volumes faster than they can be stored, transferred, and loaded, while in situ reduction must use only a limited share of simulation res…
GSCache: Real-Time Radiance Caching for Volume Path Tracing using 3D Gaussian Splatting
David Bauer, Qi Wu, Hamid Gadirov +1
Real-time path tracing is rapidly becoming the standard for rendering in entertainment and professional applications. In scientific visualization, volume rendering plays a crucial…
Glyph-Based Multiscale Visualization of Turbulent Multi-Physics Statistics
Arisa Cowe, Tyson Neuroth, Qi Wu +4
Many scientific and engineering problems involving multi-physics span a wide range of scales. Understanding the interactions across these scales is essential for fully comprehendin…
From Cluster to Desktop: A Cache-Accelerated INR framework for Interactive Visualization of Tera-Scale Data
Daniel Zavorotny, Qi Wu, David Bauer +1
Machine learning has enabled the use of implicit neural representations (INRs) to efficiently compress and reconstruct massive scientific datasets. However, despite advances in fas…
HyperFLINT: Hypernetwork-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization
Hamid Gadirov, Qi Wu, David Bauer +3
We present HyperFLINT (Hypernetwork-based FLow estimation and temporal INTerpolation), a novel deep learning-based approach for estimating flow fields, temporally interpolating sca…
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit +2
A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embedd…
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems
Shilpika, Bethany Lusch, Murali Emani +4
The ability to monitor and interpret of hardware system events and behaviors are crucial to improving the robustness and reliability of these systems, especially in a supercomputin…
Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination
David Bauer, Qi Wu, Kwan-Liu Ma
Volume data is commonly found in many scientific disciplines, like medicine, physics, and biology. Experts rely on robust scientific visualization techniques to extract valuable in…
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation
Qi Wu, David Bauer, Yuyang Chen +1
Implicit Neural Representations (INRs) have recently exhibited immense potential in the field of scientific visualization for both data generation and visualization tasks. However,…
Distributed Neural Representation for Reactive in situ Visualization
Qi Wu, Joseph A. Insley, Victor A. Mateevitsi +3
Implicit neural representations (INRs) have emerged as a powerful tool for compressing large-scale volume data. This opens up new possibilities for in situ visualization. However,…
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
Xiaoyu Zhang, Jianping Li, Po-Wei Chi +2
With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents -- such as academic papers -- f…
LabelVizier: Interactive Validation and Relabeling for Technical Text Annotations
Xiaoyu Zhang, Xiwei Xuan, Alden Dima +2
With the rapid accumulation of text data produced by data-driven techniques, the task of extracting "data annotations"--concise, high-quality data summaries from unstructured raw t…
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt
Yiran Li, Junpeng Wang, Xin Dai +5
Vision transformer (ViT) expands the success of transformer models from sequential data to images. The model decomposes an image into many smaller patches and arranges them into a…
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks
Yiran Li, Junpeng Wang, Takanori Fujiwara +1
Adversarial attacks on a convolutional neural network (CNN) -- injecting human-imperceptible perturbations into an input image -- could fool a high-performance CNN into making inco…
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
Hsiao-Ying Lu, Takanori Fujiwara, Ming-Yi Chang +3
Multivariate networks are commonly found in real-world data-driven applications. Uncovering and understanding the relations of interest in multivariate networks is not a trivial ta…
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin +2
Researchers have proposed various methods for visually interpreting the Convolutional Neural Network (CNN) via saliency maps, which include Class-Activation-Map (CAM) based approac…
Beyond ExaBricks: GPU Volume Path Tracing of AMR Data
Stefan Zellmann, Qi Wu, Alper Sahistan +2
Adaptive Mesh Refinement (AMR) is becoming a prevalent data representation for scientific visualization. Resulting from large fluid mechanics simulations, the data is usually cell…
FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks
David Bauer, Qi Wu, Kwan-Liu Ma
Volume data is found in many important scientific and engineering applications. Rendering this data for visualization at high quality and interactive rates for demanding applicatio…
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis
Tyson Neuroth, Martin Rieth, Konduri Aditya +3
Spatial statistical analysis of multivariate volumetric data can be challenging due to scale, complexity, and occlusion. Advances in topological segmentation, feature extraction, a…
Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation
Qi Wu, David Bauer, Michael J. Doyle +1
Neural networks have shown great potential in compressing volume data for visualization. However, due to the high cost of training and inference, such volumetric neural representat…
A Multi-Layout Design for Immersive Visualization of Network Data
David Bauer, Chengbo Zheng, Oh-Hyun Kwon +1
Visualization plays a vital role in making sense of complex network data. Recent studies have shown the potential of using extended reality (XR) for the immersive exploration of ne…