Now showing items 1-20 of 49

    • 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 ...
    • Bombalytics: Visualization of Competition and Collaboration Strategies of Players in a Bomb Laying Game 

      Agarwal, Shivam; Wallner, Günter; Beck, Fabian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Competition and collaboration form complex interaction patterns between the agents and objects involved. Only by understanding these interaction patterns, we can reveal the strategies the participating parties applied. In ...
    • Boxer: Interactive Comparison of Classifier Results 

      Gleicher, Michael; Barve, Aditya; Yu, Xinyi; Heimerl, Florian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Machine learning practitioners often compare the results of different classifiers to help select, diagnose and tune models. We present Boxer, a system to enable such comparison. Our system facilitates interactive exploration ...
    • 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 ...
    • Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks 

      Bäuerle, Alex; Neumann, Heiko; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Training data plays an essential role in modern applications of machine learning. However, gathering labeled training data is time-consuming. Therefore, labeling is often outsourced to less experienced users, or completely ...
    • Co-creating Visualizations: A First Evaluation with Social Science Researchers 

      Molina León, Gabriela; Breiter, Andreas (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Co-creation is a design method where designers and domain experts work together to develop a product. In this paper, we present and evaluate the use of co-creation to design a visual information system with social science ...
    • CPU Ray Tracing of Tree-Based Adaptive Mesh Refinement Data 

      Wang, Feng; Marshak, Nathan; Usher, Will; Burstedde, Carsten; Knoll, Aaron; Heister, Timo; Johnson, Chris R. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Adaptive mesh refinement (AMR) techniques allow for representing a simulation's computation domain in an adaptive fashion. Although these techniques have found widespread adoption in high-performance computing simulations, ...
    • 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 ...
    • DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning 

      Jaunet, Theo; Vuillemot, Romain; Wolf, Christian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent ...
    • EuroVis 2020 CGF 39-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Landesberger von Antburg, Tatiana (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    • 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 ...
    • Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology 

      Hofmann, Lutz; Sadlo, Filip (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      This paper does two main contributions to 2D time-dependent vector field topology. First, we present a technique for robust, accurate, and efficient extraction of distinguished hyperbolic trajectories (DHT), the generative ...
    • 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 ...
    • Fiber Surfaces for many Variables 

      Blecha, Christian; Raith, Felix; Präger, Arne Jonas; Nagel, Thomas; Kolditz, Olaf; Maßmann, Jobst; Röber, Niklas; Böttinger, Michael; Scheuermann, Gerik (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Scientific visualization deals with increasingly complex data consisting of multiple fields. Typical disciplines generating multivariate data are fluid dynamics, structural mechanics, geology, bioengineering, and climate ...
    • Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees 

      Lohfink, Anna-Pia; Wetzels, Florian; Lukasczyk, Jonas; Weber, Gunther H.; Garth, Christoph (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We describe a novel technique for the simultaneous visualization of multiple scalar fields, e.g. representing the members of an ensemble, based on their contour trees. Using tree alignments, a graph-theoretic concept similar ...
    • 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 ...
    • 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, ...
    • Hairy Slices II: Depth Cues for Visualizing 3D Streamlines Through Cutting Planes 

      Stevens, Andrew H.; Ware, Colin; Butkiewicz, Thomas; Rogers, David; Abram, Greg (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Visualizing 3D vector fields is challenging because of occlusion problems and the difficulty of providing depth cues that adequately support the perception of direction of flow lines in 3D space. One of the depth cues that ...
    • 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 ...
    • Knowledge-Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast-Enhanced Magnetic Resonance Imaging 

      Nie, Kai; Baltzer, Pascal; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Breast perfusion data are dynamic medical image data that depict perfusion characteristics of the investigated tissue. These data consist of a series of static datasets that are acquired at different time points and ...