Now showing items 361-380 of 2371

    • Tornado Visualizer: Analyzing the Destructive Impact of Tornadoes in the United States 

      Hansen, Nikolaj; Lorentzen, Simon; Widell, Sofie; Kusnick, Jakob; Jänicke, Stefan (The Eurographics Association, 2022)
      We present a visual exploration system that supports investigating multifarious inquiries on trends in the destructive impact of tornadoes in the United States. Based on the publicly available data on storm events from the ...
    • AtmoVis: Web Based Visualization of Air Quality Data with Interconnected Windows 

      Powley, Benjamin T.; Anslow, Craig; Pearce, David James (The Eurographics Association, 2022)
      Air quality has an adverse impact on the health of people living in areas with poor quality air. Hence monitoring is needed to understand the extent of poor air quality. Little work has been done on the effectiveness of ...
    • EnvirVis 2022: Frontmatter 

      Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk (The Eurographics Association, 2022)
    • Saliency Clouds: Visual Analysis of Point Cloud-oriented Deep Neural Networks in DeepRL for Particle Physics 

      Mulawade, Raju Ningappa; Garth, Christoph; Wiebel, Alexander (The Eurographics Association, 2022)
      We develop and describe saliency clouds, that is, visualization methods employing explainable AI methods to analyze and interpret deep reinforcement learning (DeepRL) agents working on point cloud-based data. The agent in ...
    • ViNNPruner: Visual Interactive Pruning for Deep Learning 

      Schlegel, Udo; Schiegg, Samuel; Keim, Daniel A. (The Eurographics Association, 2022)
      Neural networks grow vastly in size to tackle more sophisticated tasks. In many cases, such large networks are not deployable on particular hardware and need to be reduced in size. Pruning techniques help to shrink deep ...
    • MLVis 2022: Frontmatter 

      Archambault, Daniel; Nabney, Ian; Peltonen, Jaakko (The Eurographics Association, 2022)
    • Visual Exploration of Neural Network Projection Stability 

      Bredius, Carlo; Tian, Zonglin; Telea, Alexandru (The Eurographics Association, 2022)
      We present a method to visually assess the stability of deep learned projections. For this, we perturb the high-dimensional data by controlled sequences and visualize the resulting changes in the 2D projection. We apply ...
    • Personal Experiences of Providing and Using Research Prototypes 

      Isenberg, Tobias (The Eurographics Association, 2022)
      I report on my personal experiences as a student, researcher, supervisor, and collaborator about providing and using research prototype software (i. e., demos). Based on an analysis of my own research activities in computer ...
    • Physical Traces and Digital Stories: Exploring the Connections Between Forensics and Visualization 

      Schetinger, Victor; Salisu, Saminu (The Eurographics Association, 2022)
      Forensics, or forensic science, deals with the analysis of evidence for investigation. It is a a wide and strongly interdisciplinary field that needs the coupling of research, practice, and communication to be useful. New ...
    • Visualization Ecology Applications for Measurement Science: A Visualization Gap Approach 

      Su, Simon; Sherman, William; Satterfield, Steve; Griffin, Terence; Ressler, Sandy; George, William; Feng, Shaw; Terrill, Judith (The Eurographics Association, 2022)
      Advanced visualization research have remained insufficiently included in science and engineering workflows due to the highly specialized task-specific requirements and lack of suitable applications. Although the field of ...
    • VisGap 2022: Frontmatter 

      Gillmann, Christina; Krone, Michael; Reina, Guido; Wischgoll, Thomas (The Eurographics Association, 2022)
    • GANST: Gradient-aware Arbitrary Neural Style Transfer 

      Zhu, Haichao (The Eurographics Association, 2021)
      Artistic style transfer synthesizes a stylized image with content from a target image and style from an art image. The latest neural style transfer leverages texture distributions as style information, and applies the style ...
    • Real-time Content Projection onto a Tunnel from a Moving Subway Train 

      Kim, Jaedong; Eom, Haegwang; Kim, Jihwan; Kim, Younghui; Noh, Junyong (The Eurographics Association, 2021)
      In this study, we present the first actual working system that can project content onto a tunnel wall from a moving subway train so that passengers can enjoy the display of digital content through a train window. To ...
    • Constraint Synthesis for Parametric CAD 

      Mathur, Aman; Zufferey, Damien (The Eurographics Association, 2021)
      Parametric CAD, in conjunction with 3D-printing, is democratizing design and production pipelines. End-users can easily change parameters of publicly available designs, and 3D-print the customized objects. In research and ...
    • Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets 

      Yang, Kaixiang; Wang, Hongya; Du, Ming; Wang, Zhizheng; Tan, Zongyuan; Xiao, Yingyuan (The Eurographics Association, 2021)
      Similarity search is an indispensable component in many computer vision applications. To index billions of images on a single commodity server, Douze et al. introduced L&C that works on operating points considering 64-128 ...
    • User-centred Depth Estimation Benchmarking for VR Content Creation from Single Images 

      Dickson, Anthony; Knott, Alistair; Zollmann, Stefanie (The Eurographics Association, 2021)
      The capture and creation of 3D content from a device equipped with just a single RGB camera has a wide range of applications ranging from 3D photographs and panoramas to 3D video. Many of these methods rely on depth ...
    • Volumetric Video Streaming Data Reduction Method Using Front-mesh 3D Data 

      Zhao, Xiaotian; Okuyama, Takafumi (The Eurographics Association, 2021)
      Volumetric video contents are attracting much attention across various industries for their six-degrees-of-freedom (6DoF) viewing experience. However, in terms of streaming, volumetric video contents still present challenges ...
    • SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement 

      Pang, Youxin; Yuan, Mengke; Chang, Yuchun; Yan, Dong-Ming (The Eurographics Association, 2021)
      We present a GAN-based network architecture for low-light image enhancement, called Structure and Detail Aware Low-light Image Enhancement GAN (SDALIE-GAN), which is trained with unpaired low/normal-light images. Specifically, ...
    • Peripheral Vision in Simulated Driving: Comparing CAVE and Head-mounted Display 

      Tanoi, Tana; Dodgson, Neil A. (The Eurographics Association, 2021)
      Peripheral vision is widely thought to be important but is not provided in the majority of head-mounted displays (HMD). We investigate whether peripheral vision is important in a simulated driving task. Our hypothesis is ...
    • View-Dependent Impostors for Architectural Shape Grammars 

      Jia, Chao; Roth, Moritz; Kerbl, Bernhard; Wimmer, Michael (The Eurographics Association, 2021)
      Procedural generation has become a key component in satisfying a growing demand for ever-larger, highly detailed geometry in realistic, open-world games and simulations. In this paper, we present our work towards a new ...