Now showing items 41-49 of 49

    • Reading Traces: Scalable Exploration in Elastic Visualizations of Cultural Heritage Data 

      Bludau, Mark-Jan; Brüggemann, Viktoria; Busch, Anna; Dörk, Marian (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Through a design study, we develop an approach to data exploration that utilizes elastic visualizations designed to support varying degrees of detail and abstraction. Examining the notions of scalability and elasticity in ...
    • 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 ...
    • 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 ...
    • MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior 

      Cakmak, Eren; Schäfer, Hanna; Buchmüller, Juri; Fuchs, Johannes; Schreck, Tobias; Jordan, Alex; Keim, Daniel A. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Domain experts for collective animal behavior analyze relationships between single animal movers and groups of animals over time and space to detect emergent group properties. A common way to interpret this type of data ...
    • 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 ...
    • Representative Isovalue Detection and Isosurface Segmentation Using Novel Isosurface Measures 

      Wang, Cuilan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Interval volume is the volume of the region between two isosurfaces. This paper proposes a novel measure, called VOA measure, that is computed based on interval volume and isosurface area. This measure represents the rate ...
    • 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 ...
    • 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, ...
    • EuroVis 2020 CGF 39-3: Frontmatter 

      Gleicher, Michael; Viola, Ivan; Landesberger von Antburg, Tatiana (The Eurographics Association and John Wiley & Sons Ltd., 2020)