EuroVis 2020 - 22nd EG/VGTC Conference on Visualization
Norrköping, Sweden, May 25-29, 2020 (Virtual)


Volumes
CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data
Feng Wang, Nathan Marshak, Will Usher, Carsten Burstedde, Aaron Knoll, Timo Heister, and Chris R. Johnson
Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Kai Nie, Pascal Baltzer, Bernhard Preim, and Gabriel Mistelbauer
Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes
Andrew H. Stevens, Colin Ware, Thomas Butkiewicz, David Rogers, and Greg Abram
Representative Isovalue Detection and Isosurface Segmentation Using Novel Isosurface Measures
Cuilan Wang
Visualization Applications and Machine Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Theo Jaunet, Romain Vuillemot, and Christian Wolf
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior
Eren Cakmak, Hanna Schäfer, Juri Buchmüller, Johannes Fuchs, Tobias Schreck, Alex Jordan, and Daniel A. Keim
Reading Traces: Scalable Exploration in Elastic Visualizations of Cultural Heritage Data
Mark-Jan Bludau, Viktoria Brüggemann, Anna Busch, and Marian Dörk
Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game
Shivam Agarwal, Günter Wallner, and Fabian Beck
Applications
VA-TRAC: Geospatial Trajectory Analysis for Monitoring, Identification, and Verification in Fishing Vessel Operations
Syver Storm-Furru and Stefan Bruckner
Orchard: Exploring Multivariate Heterogeneous Networks on Mobile Phones
Philipp Eichmann, Darren Edge, Nathan Evans, Bongshin Lee, Matthew Brehmer, and Christopher White
Ocupado: Visualizing Location-Based Counts Over Time Across Buildings
Michael Oppermann and Tamara Munzner
A Visual Analytics Approach to Facilitate Crime Hotspot Analysis
José F. de Queiroz Neto, Emanuele Santos, Creto Augusto Vidal, and David S. Ebert
Machine Learning
QUESTO: Interactive Construction of Objective Functions for Classification Tasks
Subhajit Das, Shenyu Xu, Michael Gleicher, Remco Chang, and Alex Endert
PEAX: Interactive Visual Pattern Search in Sequential Data Using Unsupervised Deep Representation Learning [Best Paper Award]
Fritz Lekschas, Brant Peterson, Daniel Haehn, Eric Ma, Nils Gehlenborg, and Hanspeter Pfister
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher, Aditya Barve, Xinyi Yu, and Florian Heimerl
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Alex Bäuerle, Heiko Neumann, and Timo Ropinski
User-Centered Visual Design and Interaction
Understanding the Design Space and Authoring Paradigms for Animated Data Graphics
John R. Thompson, Zhicheng Liu, Wilmot Li, and John Stasko
VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors
Aspen K. Hopkins, Michael Correll, and Arvind Satyanarayan
Many At Once: Capturing Intentions to Create And Use Many Views At Once In Large Display Environments
Jillian Aurisano, Abhinav Kumar, Abeer Alsaiari, Barbara Di Eugenio, and Andrew E. Johnson
Dimension Reduction and Projections
Quantitative Evaluation of Time-Dependent Multidimensional Projection Techniques
Eduardo Faccin Vernier, Rafael Garcia, Iron Prando da Silva, João L. D. Comba, and Alexandru C. Telea
Phase Space Projection of Dynamical Systems [Honorable Mentions]
Nemanja Bartolovic, Markus Gross, and Tobias Günther
Interaction and Storytelling
Short-Contact Touch-Manipulation of Scatterplot Matrices on Wall Displays
Patrick Riehmann, Gabriela Molina León, Joshua Reibert, Florian Echtler, and Bernd Froehlich
Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude
Johannes Liem, Charles Perin, and Jo Wood
Co-creating Visualizations: A First Evaluation with Social Science Researchers
Gabriela Molina León and Andreas Breiter
Topology
Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology
Lutz Hofmann and Filip Sadlo
Fiber Surfaces for many Variables
Christian Blecha, Felix Raith, Arne Jonas Präger, Thomas Nagel, Olaf Kolditz, Jobst Maßmann, Niklas Röber, Michael Böttinger, and Gerik Scheuermann
Visual Analysis of the Finite-Time Lyapunov Exponent
Antoni Sagristà, Stefan Jordan, and Filip Sadlo
Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees
Anna-Pia Lohfink, Florian Wetzels, Jonas Lukasczyk, Gunther H. Weber, and Christoph Garth
Networks and Sets
Metro Maps on Octilinear Grid Graphs
Hannah Bast, Patrick Brosi, and Sabine Storandt
Augmenting Node-Link Diagrams with Topographic Attribute Maps
Reinhold Preiner, Johanna Schmidt, Katharina Krösl, Tobias Schreck, and Gabriel Mistelbauer
Set Streams: Visual Exploration of Dynamic Overlapping Sets
Shivam Agarwal and Fabian Beck
Quantitative Comparison of Time-Dependent Treemaps
Eduardo Vernier, Max Sondag, João Comba, Bettina Speckmann, Alexandru Telea, and Kevin Verbeek
Vectors and Tensors
PAVED: Pareto Front Visualization for Engineering Design
Lena Cibulski, Hubert Mitterhofer, Thorsten May, and Jörn Kohlhammer
A Globally Conforming Lattice Structure for 2D Stress Tensor Visualization
Junpeng Wang, Jun Wu, and Rüdiger Westermann
Feature Driven Combination of Animated Vector Field Visualizations
María Jesús Lobo, Alexandru Telea, and Christophe Hurter
Space and Time
LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization [Honorable Mentions]
Alireza Amiraghdam, Alexandra Diehl, and Renato Pajarola
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation
David Saffo, Aristotelis Leventidis, Twinkle Jain, Michelle A. Borkin, and Cody Dunne
GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map
Chao Ma, Ye Zhao, Shamal AL-Dohuki, Jing Yang, Xinyue Ye, Farah Kamw, and Md Amiruzzaman
Visual Analytics for Problem Solving
WarehouseVis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts
Quan Li, Qiangqiang Liu, Chunfeng Tang, Zhiwei Li, Shuaichao Wei, Xianrui Peng, Minghua Zheng, Tianjian Chen, and Qiang Yang
Resolving Conflicting Insights in Asynchronous Collaborative Visual Analysis
Jianping Kelvin Li, Shenyu Xu, Yecong (Chris) Ye, and Kwan-Liu Ma
SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics
Meng Xia, Min Xu, Chuan-en Lin, Ta Ying Cheng, Huamin Qu, and Xiaojuan Ma
SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Designs
Quan Li, Yingjie J. Liu, Li Chen, Xingchao C. Yang, Yi Peng, Xiaoru R. Yuan, and Maddegedara Lalith Lakshman Wijerathne
Multivariate Data Visualization
Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates
Michael Blumenschein, Xuan Zhang, David Pomerenke, Daniel A. Keim, and Johannes Fuchs
Sunspot Plots: Model-based Structure Enhancement for Dense Scatter Plots
Thomas Trautner, Fabian Bolte, Sergej Stoppel, and Stefan Bruckner
v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions
Michael Blumenschein, Luka J. Debbeler, Nadine C. Lages, Britta Renner, Daniel A. Keim, and Mennatallah El-Assady
Graphs and Charts
Sublinear Time Force Computation for Big Complex Network Visualization
Amyra Meidiana, Seok-Hee Hong, Marnijati Torkel, Shijun Cai, and Peter Eades
Infomages: Embedding Data into Thematic Images [Honorable Mentions]
Darius Coelho and Klaus Mueller
Canis: A High-Level Language for Data-Driven Chart Animations
Tong Ge, Yue Zhao, Bongshin Lee, Donghao Ren, Baoquan Chen, and Yunhai Wang

Recent Submissions

  • Canis: A High-Level Language for Data-Driven Chart Animations 

    Ge, Tong; Zhao, Yue; Lee, Bongshin; Ren, Donghao; Chen, Baoquan; Wang, Yunhai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we introduce Canis, a high-level domain-specific language that enables declarative specifications of data-driven chart animations. By leveraging data-enriched SVG charts, its grammar of animations can be ...
  • Infomages: Embedding Data into Thematic Images 

    Coelho, Darius; Mueller, Klaus (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Recent studies have indicated that visually embellished charts such as infographics have the ability to engage viewers and positively affect memorability. Fueled by these findings, researchers have proposed a variety of ...
  • Sublinear Time Force Computation for Big Complex Network Visualization 

    Meidiana, Amyra; Hong, Seok-Hee; Torkel, Marnijati; Cai, Shijun; Eades, Peter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we present a new framework for sublinear time force computation for visualization of big complex graphs. Our algorithm is based on the sampling of vertices for computing repulsion forces and edge sparsification ...
  • v-plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions 

    Blumenschein, Michael; Debbeler, Luka J.; Lages, Nadine C.; Renner, Britta; Keim, Daniel A.; El-Assady, Mennatallah (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Comparing data distributions is a core focus in descriptive statistics, and part of most data analysis processes across disciplines. In particular, comparing distributions entails numerous tasks, ranging from identifying ...
  • Sunspot Plots: Model-based Structure Enhancement for Dense Scatter Plots 

    Trautner, Thomas; Bolte, Fabian; Stoppel, Sergej; Bruckner, Stefan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Scatter plots are a powerful and well-established technique for visualizing the relationships between two variables as a collection of discrete points. However, especially when dealing with large and dense data, scatter ...
  • Evaluating Reordering Strategies for Cluster Identification in Parallel Coordinates 

    Blumenschein, Michael; Zhang, Xuan; Pomerenke, David; Keim, Daniel A.; Fuchs, Johannes (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    The ability to perceive patterns in parallel coordinates plots (PCPs) is heavily influenced by the ordering of the dimensions. While the community has proposed over 30 automatic ordering strategies, we still lack empirical ...
  • SEEVis: A Smart Emergency Evacuation Plan Visualization System with Data-Driven Shot Designs 

    Li, Quan; Liu, Yingjie J.; Chen, Li; Yang, Xingchao C.; Peng, Yi; Yuan, Xiaoru R.; Wijerathne, Maddegedara Lalith Lakshman (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Despite the significance of tracking human mobility dynamics in a large-scale earthquake evacuation for an effective first response and disaster relief, the general understanding of evacuation behaviors remains limited. ...
  • SeqDynamics: Visual Analytics for Evaluating Online Problem-solving Dynamics 

    Xia, Meng; Xu, Min; Lin, Chuan-en; Cheng, Ta Ying; Qu, Huamin; Ma, Xiaojuan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Problem-solving dynamics refers to the process of solving a series of problems over time, from which a student's cognitive skills and non-cognitive traits and behaviors can be inferred. For example, we can derive a student's ...
  • WarehouseVis: A Visual Analytics Approach to Facilitating Warehouse Location Selection for Business Districts 

    Li, Quan; Liu, Qiangqiang; Tang, Chunfeng; Li, Zhiwei; Wei, Shuaichao; Peng, Xianrui; Zheng, Minghua; Chen, Tianjian; Yang, Qiang (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Selecting a proper warehouse location serving to satisfy the demands of the goods from a certain business area is important to a successful retail business. However, the large solution space, uncertain traffic conditions, ...
  • Resolving Conflicting Insights in Asynchronous Collaborative Visual Analysis 

    Li, Jianping Kelvin; Xu, Shenyu; Ye, Yecong (Chris); Ma, Kwan-Liu (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Analyzing large and complex datasets for critical decision making can benefit from a collective effort involving a team of analysts. However, insights and findings from different analysts are often incomplete, disconnected, ...
  • GTMapLens: Interactive Lens for Geo-Text Data Browsing on Map 

    Ma, Chao; Zhao, Ye; AL-Dohuki, Shamal; Yang, Jing; Ye, Xinyue; Kamw, Farah; Amiruzzaman, Md (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Data containing geospatial semantics, such as geotagged tweets, travel blogs, and crime reports, associates natural language texts with geographical locations. This paper presents a lens-based visual interaction technique, ...
  • Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation 

    Saffo, David; Leventidis, Aristotelis; Jain, Twinkle; Borkin, Michelle A.; Dunne, Cody (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring ...
  • LOCALIS: Locally-adaptive Line Simplification for GPU-based Geographic Vector Data Visualization 

    Amiraghdam, Alireza; Diehl, Alexandra; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Visualization of large vector line data is a core task in geographic and cartographic systems. Vector maps are often displayed at different cartographic generalization levels, traditionally by using several discrete ...
  • Feature Driven Combination of Animated Vector Field Visualizations 

    Lobo, María Jesús; Telea, Alexandru; Hurter, Christophe (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Animated visualizations are one of the methods for finding and understanding complex structures of time-dependent vector fields. Many visualization designs can be used to this end, such as streamlines, vector glyphs, and ...
  • A Globally Conforming Lattice Structure for 2D Stress Tensor Visualization 

    Wang, Junpeng; Wu, Jun; Westermann, Rüdiger (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a visualization technique for 2D stress tensor fields based on the construction of a globally conforming lattice. Conformity ensures that the lattice edges follow the principal stress directions and the aspect ...
  • PAVED: Pareto Front Visualization for Engineering Design 

    Cibulski, Lena; Mitterhofer, Hubert; May, Thorsten; Kohlhammer, Jörn (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of ...
  • Quantitative Comparison of Time-Dependent Treemaps 

    Vernier, Eduardo; Sondag, Max; Comba, João; Speckmann, Bettina; Telea, Alexandru; Verbeek, Kevin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Rectangular treemaps are often the method of choice to visualize large hierarchical datasets. Nowadays such datasets are available over time, hence there is a need for (a) treemaps that can handle time-dependent data, and ...
  • Set Streams: Visual Exploration of Dynamic Overlapping Sets 

    Agarwal, Shivam; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In many applications, membership of set elements changes over time. Since each element can be present in multiple sets, the sets also overlap. As a result, it becomes challenging to visualize the temporal change in set ...
  • Augmenting Node-Link Diagrams with Topographic Attribute Maps 

    Preiner, Reinhold; Schmidt, Johanna; Krösl, Katharina; Schreck, Tobias; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We propose a novel visualization technique for graphs that are attributed with scalar data. In many scenarios, these attributes (e.g., birth date in a family network) provide ambient context information for the graph ...
  • Metro Maps on Octilinear Grid Graphs 

    Bast, Hannah; Brosi, Patrick; Storandt, Sabine (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Schematic transit maps (often called "metro maps" in the literature) are important to produce comprehensible visualizations of complex public transit networks. In this work, we investigate the problem of automatically ...

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