Machine Learning and SciVis Applications
Loss-contribution-based in situ Visualization for Neural Network Training
Teng-Yok Lee
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks
Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, and Jaegul Choo
RoomCanvas: A Visualization System for Spatiotemporal Temperature Data in Smart Homes
Bastian König, Daniel Limberger, Jan Klimke, Benjamin Hagedorn, and Jürgen Döllner
SailVis: Reconstruction and Multifaceted Visualization of Sail Shape
Danfeng Mu, Marcos Pieras, Douwe Broekens, and Ricardo Marroquim
RISSAD: Rule-based Interactive Semi-Supervised Anomaly Detection
Jiahao Deng and Eli T. Brown
Scientific Visualization
Analytic Ray Splitting for Controlled Precision DVR
Sebastian Weiss and Rüdiger Westermann
Visual Analysis of the Relation Between Stiffness Tensor and the Cauchy-Green Tensor
Christian Blecha, Chiara Hergl, Thomas Nagel, and Gerik Scheuermann
Visualization of Uncertain Multivariate Data via Feature Confidence Level-Sets
Sudhanshu Sane, Tushar M. Athawale, and Chris R. Johnson
Integration-Aware Vector Field Super Resolution
Saroj Sahoo and Matthew Berger
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition
Jesus Pulido, John Patchett, Manish Bhattarai, Boian Alexandrov, and James Ahrens
Analytics and Applications
VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space
Andreas Scheidl, Roger A. Leite, and Silvia Miksch
DanceMoves: A Visual Analytics Tool for Dance Movement Analysis
Vasiliki Arpatzoglou, Artemis Kardara, Alexandra Diehl, Barbara Flueckiger, Sven Helmer, and Renato Pajarola
Graceful Degradation for Real-time Visualization of Streaming Geospatial Data
João Rafael, João Moreira, Daniel Mendes, Mário Alves, and Daniel Gonçalves
Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics
Lukas Svicarovic, Denis Parra, and María Jesús Lobo
Discussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetings
Tao Wang, Mandy Keck, and Zana Vosough
Information Visualization
TaskVis: Task-oriented Visualization Recommendation
Leixian Shen, Enya Shen, Zhiwei Tai, Yiran Song, and Jianmin Wang
Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping
Ala Abuthawabeh and Michael Aupetit
A Multilevel Approach for Event-Based Dynamic Graph Drawing
Alessio Arleo, Silvia Miksch, and Daniel Archambault
Selective Angular Brushing of Parallel Coordinate Plots
Raphael Sahann, Ivana Gajic, Torsten Moeller, and Johanna Schmidt
Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets
Willy Scheibel, Christopher Weyand, Joseph Bethge, and Jürgen Döllner

Recent Submissions

  • Algorithmic Improvements on Hilbert and Moore Treemaps for Visualization of Large Tree-structured Datasets 

    Scheibel, Willy; Weyand, Christopher; Bethge, Joseph; Döllner, Jürgen (The Eurographics Association, 2021)
    Hilbert and Moore treemaps are based on the same named space-filling curves to lay out tree-structured data for visualization. One main component of them is a partitioning subroutine, whose algorithmic complexity poses ...
  • Selective Angular Brushing of Parallel Coordinate Plots 

    Sahann, Raphael; Gajic, Ivana; Moeller, Torsten; Schmidt, Johanna (The Eurographics Association, 2021)
    Parallel coordinates are an established technique to visualize multivariate data. Since these graphs are generally hard to read, we need interaction techniques to judge them accurately. Adding to the existing brushing ...
  • A Multilevel Approach for Event-Based Dynamic Graph Drawing 

    Arleo, Alessio; Miksch, Silvia; Archambault, Daniel (The Eurographics Association, 2021)
    The timeslice is the predominant method for drawing and visualizing dynamic graphs. However, when nodes and edges have real coordinates along the time axis, it becomes difficult to organize them into discrete timeslices, ...
  • Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping 

    Abuthawabeh, Ala; Aupetit, Michael (The Eurographics Association, 2021)
    Interactive spatial arrangement and grouping (A&G) of images is a critical step of the sense-making process. We argue that to support A&G tasks, a visual encoding idiom should avoid clutter, show groups explicitly, and ...
  • TaskVis: Task-oriented Visualization Recommendation 

    Shen, Leixian; Shen, Enya; Tai, Zhiwei; Song, Yiran; Wang, Jianmin (The Eurographics Association, 2021)
    General visualization recommendation systems typically make design decisions of the dataset automatically. However, these systems are only able to prune meaningless visualizations but fail to recommend targeted results. ...
  • Discussion Flows: An Interactive Visualization for Analyzing Engagement in Multi-Party Meetings 

    Wang, Tao; Keck, Mandy; Vosough, Zana (The Eurographics Association, 2021)
    Engagement in multi-party meetings is a key indicator of outcome. Poor attendee involvement can hinder progress and hurt team cohesion. Thus, there is a strong motivation for organizations to better understand what happens ...
  • Evaluating Interactive Comparison Techniques in a Multiclass Density Map for Visual Crime Analytics 

    Svicarovic, Lukas; Parra, Denis; Lobo, María Jesús (The Eurographics Association, 2021)
    Techniques for presenting objects spatially via density maps have been thoroughly studied, but there is lack of research on how to display this information in the presence of several classes, i.e., multiclass density maps. ...
  • Graceful Degradation for Real-time Visualization of Streaming Geospatial Data 

    Rafael, João; Moreira, João; Mendes, Daniel; Alves, Mário; Gonçalves, Daniel (The Eurographics Association, 2021)
    The availability of devices that can record locations and are connected to the Internet creates a huge amount of geospatial data that are continuously streamed. The informative visualization of such data is a challenging ...
  • DanceMoves: A Visual Analytics Tool for Dance Movement Analysis 

    Arpatzoglou, Vasiliki; Kardara, Artemis; Diehl, Alexandra; Flueckiger, Barbara; Helmer, Sven; Pajarola, Renato (The Eurographics Association, 2021)
    Analyzing body movement as a means of expression is of interest in diverse areas, such as dance, sports, films, as well as anthropology or archaeology. In particular, in choreography, body movements are at the core of ...
  • VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space 

    Scheidl, Andreas; Leite, Roger A.; Miksch, Silvia (The Eurographics Association, 2021)
    Multivariate networks are complex data structures, which are ubiquitous in many application domains. Driven by a real-world problem, namely the movement behavior of citizens in Vienna, we designed and implemented a Visual ...
  • Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition 

    Pulido, Jesus; Patchett, John; Bhattarai, Manish; Alexandrov, Boian; Ahrens, James (The Eurographics Association, 2021)
    Choosing salient time steps from spatio-temporal data is useful for summarizing the sequence and developing visualizations for animations prior to committing time and resources to their production on an entire time series. ...
  • Visualization of Uncertain Multivariate Data via Feature Confidence Level-Sets 

    Sane, Sudhanshu; Athawale, Tushar M.; Johnson, Chris R. (The Eurographics Association, 2021)
    Recent advancements in multivariate data visualization have opened new research opportunities for the visualization community. In this paper, we propose an uncertain multivariate data visualization technique called feature ...
  • Integration-Aware Vector Field Super Resolution 

    Sahoo, Saroj; Berger, Matthew (The Eurographics Association, 2021)
    In this work we propose an integration-aware super-resolution approach for 3D vector fields. Recent work in flow field superresolution has achieved remarkable success using deep learning approaches. However, existing ...
  • Visual Analysis of the Relation Between Stiffness Tensor and the Cauchy-Green Tensor 

    Blecha, Christian; Hergl, Chiara; Nagel, Thomas; Scheuermann, Gerik (The Eurographics Association, 2021)
    Stress and strain tensors, two well-known quantities in mechanical engineering, are linked through a fourth-order stiffness tensor, which is not considered by many visualizations due to its complexity. Considering an ...
  • Analytic Ray Splitting for Controlled Precision DVR 

    Weiss, Sebastian; Westermann, Rüdiger (The Eurographics Association, 2021)
    For direct volume rendering of post-classified data, we propose an algorithm that analytically splits a ray through a cubical cell at the control points of a piecewise-polynomial transfer function. This splitting generates ...
  • SailVis: Reconstruction and Multifaceted Visualization of Sail Shape 

    Mu, Danfeng; Pieras, Marcos; Broekens, Douwe; Marroquim, Ricardo (The Eurographics Association, 2021)
    While sailing, sailors rely on their eyes to inspect the sail shape and adjust the configurations to achieve an appropriate shape for a certain the weather condition. Mastering this so-called trimming process requires years ...
  • RISSAD: Rule-based Interactive Semi-Supervised Anomaly Detection 

    Deng, Jiahao; Brown, Eli T. (The Eurographics Association, 2021)
    Anomaly detection has gained increasing attention from researchers in recent times. Owing to a lack of reliable ground-truth labels, many current state-of-art techniques focus on unsupervised learning, which lacks a mechanism ...
  • RoomCanvas: A Visualization System for Spatiotemporal Temperature Data in Smart Homes 

    König, Bastian; Limberger, Daniel; Klimke, Jan; Hagedorn, Benjamin; Döllner, Jürgen (The Eurographics Association, 2021)
    Spatiotemporal measurements such as power consumption, temperature, humidity, movement, noise, brightness, etc., will become ubiquitously available in both old and modern homes to capture and analyze behavioral patterns. ...
  • VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks 

    Park, Cheonbok; Yang, Soyoung; Na, Inyoup; Chung, Sunghyo; Shin, Sungbok; Kwon, Bum Chul; Park, Deokgun; Choo, Jaegul (The Eurographics Association, 2021)
    Convolutional neural networks (CNNs) are popularly used in a wide range of applications, such as computer vision, natural language processing, and human-computer interaction. However, testing and understanding a trained ...
  • Loss-contribution-based in situ Visualization for Neural Network Training 

    Lee, Teng-Yok (The Eurographics Association, 2021)
    This paper presents an in situ visualization algorithm for neural network training. As each training data item leads to multiple hidden variables when being forward-propagated through a neural network, our algorithm first ...

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