1 citations · 2 across the 13 of their papers we have counts for
13 papers
Exact Computation of Trait-induced Merge Trees for Bivariate Fields
Petar Hristov, Ingrid Hotz, Talha Bin Masood
Trait-induced merge trees (TIMTs) provide a robust topology-based method for selecting and browsing feature level sets in multivariate data by analyzing the distance field induced…
Temporal Tracking of Reeb-Space Sheets
Mohit Sharma, Petar Hristov, Talha Bin Masood +1
Time-varying bivariate fields arise in many scientific applications, where the relationship between two scalar quantities evolves over time. While topological methods such as merge…
Towards Computing Average Merge Tree Based on the Interleaving Distance
Elena Farahbakhsh Touli, Ingrid Hotz, Talha Bin Masood
The interleaving distance is a key tool for comparing merge trees, which provide topological summaries of scalar functions. In this work, we define an average merge tree for a pair…
Robust Geometric Predicates for Bivariate Computational Topology
Petar Hristov, Ingrid Hotz, Talha Bin Masood
We present theory and practice for robust implementations of bivariate Jacobi set and Reeb space algorithms. Robustness is a fundamental topic in computational geometry that deals…
Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
Mohit Sharma, Emma Nilsson, Martin Falk +5
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes tha…
Continuous Scatterplot and Image Moments for Time-Varying Bivariate Field Analysis of Electronic Structure Evolution
Mohit Sharma, Talha Bin Masood, Nanna Holmgaard List +2
Photoinduced electronic transitions are complex quantum-mechanical processes where electrons move between energy levels due to light absorption. This induces dynamics in electronic…
A Scalable System for Visual Analysis of Ocean Data
Toshit Jain, Upkar Singh, Varun Singh +5
Oceanographers rely on visual analysis to interpret model simulations, identify events and phenomena, and track dynamic ocean processes. The ever increasing resolution and complexi…
Multi-field Visualization: Trait design and trait-induced merge trees
Danhua Lei, Jochen Jankowai, Petar Hristov +4
Feature level sets (FLS) have shown significant potential in the analysis of multi-field data by using traits defined in attribute space to specify features in the domain. In this…
Multi-scale Cycle Tracking in Dynamic Planar Graphs
Farhan Rasheed, Abrar Naseer, Emma Nilsson +2
This paper presents a nested tracking framework for analyzing cycles in 2D force networks within granular materials. These materials are composed of interacting particles, whose in…
pyParaOcean: A System for Visual Analysis of Ocean Data
Toshit Jain, Varun Singh, Vijay Kumar Boda +4
Visual analysis is well adopted within the field of oceanography for the analysis of model simulations, detection of different phenomena and events, and tracking of dynamic process…
Multi-field Visualisation via Trait-induced Merge Trees
Jochen Jankowai, Talha Bin Masood, Ingrid Hotz
In this work, we propose trait-based merge trees a generalization of merge trees to feature level sets, targeting the analysis of tensor field or general multi-variate data. For th…
Probabilistic Gradient-Based Extrema Tracking
Emma Nilsson, Jonas Lukasczyk, Talha Bin Masood +2
Feature tracking is a common task in visualization applications, where methods based on topological data analysis (TDA) have successfully been applied in the past for feature defin…
Aromatic Hexazine [N6]4- Anion Revealed in the Complex Structure of the High-Pressure Potassium Nitride K9N56
Dominique Laniel, Florian Trybel, Yuqing Yin +13
Recent high-pressure synthesis of pentazolates and subsequent stabilization of the aromatic [N5]- anion at atmospheric pressure had an immense impact on nitrogen chemistry. Here, w…