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20232026
most citedA General Framework for Augmenting Lossy Compressors with Topological Guarantees

7 citations · 7 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.GR2026

Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events

Mingzhe Li, Peer Nowack, Bei Wang

Atmospheric blocking events are quasi-stationary high-pressure systems that disrupt the typical paths of polar and subtropical air currents, often producing prolonged extreme weath…

cs.GR2025

TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields

Nathaniel Gorski, Xin Liang, Hanqi Guo +1

In this paper, we present a novel compression framework, TFZ, that preserves the topology of 2D symmetric and asymmetric second-order tensor fields defined on flat triangular meshe…

cs.GR2025

ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization

Md Rahat-uz- Zaman, Bei Wang, Paul Rosen

Deep neural networks (DNNs) achieve state-of-the-art performance in many vision tasks, yet understanding their internal behavior remains challenging, particularly how different lay…

cs.GR2024

Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression

Yuxiao Li, Mingze Xia, Xin Liang +2

Scientific applications are generating unprecedented volumes of data that overwhelm storage and transmission systems, posing significant challenges for the design of data managemen…

cs.GR2023

Interactive Visualization of Time-Varying Flow Fields Using Particle Tracing Neural Networks

Mengjiao Han, Jixian Li, Sudhanshu Sane +4

In this paper, we present a comprehensive evaluation to establish a robust and efficient framework for Lagrangian-based particle tracing using deep neural networks (DNNs). Han et a…