Now showing items 361-380 of 2371

    • DaaG: Visual Analytics Clustering Using Network Representation 

      Alcaide, Daniel; Aerts, Jan (The Eurographics Association, 2017)
      Finding useful patterns in datasets has attracted considerable interest in the field of visual analytics. One of the most common solutions is the identification and representation of clusters. In this work, we propose a ...
    • 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 ...
    • DARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparison 

      Hou, Yihan; Liu, Yu; Wang, He; Zhang, Zhichao; Li, Yue; Liang, Hai-Ning; Yu, Lingyun (The Eurographics Association, 2022)
      People often make decisions based on their comprehensive understanding of various materials, judgement of reasons, and comparison among choices. For instance, when hiring committees review multivariate applicant data, they ...
    • Dark/Light Mode Adaptation for Graphical User Interfaces on Near-Eye Displays 

      Erickson, Austin; Kim, Kangsoo; Bruder, Gerd; Welch, Gregory F. (The Eurographics Association, 2020)
      In the fields of augmented reality (AR) and virtual reality (VR), many applications involve user interfaces (UIs) to display various types of information to users. Such UIs are an important component that influences user ...
    • DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation 

      Kwon, Bum Chul; Lee, Jungsoo; Chung, Chaeyeon; Lee, Nyoungwoo; Choi, Ho-Jin; Choo, Jaegul (The Eurographics Association, 2022)
      Image classification models often learn to predict a class based on irrelevant co-occurrences between input features and an output class in training data. We call the unwanted correlations ''data biases,'' and the visual ...
    • A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps 

      Cech, Tim; Simsek, Furkan; Scheibel, Willy; Döllner, Jürgen (The Eurographics Association, 2023)
      Quali-quantitative methods provide ways for interrogating Convolutional Neural Networks (CNN). For it, we propose a dashboard using a quali-quantitative method based on quantitative metrics and saliency maps. By those ...
    • DASKEL: An Interactive Choreographical System with Labanotation-Skeleton Translation 

      Luo, Siyuan; Yu, Borou; Wang, Zeyu (The Eurographics Association, 2023)
      We propose DASKEL, a real-time interactive choreography system with bidirectional human skeleton-Labanotation conversion. DASKEL fuses dance notation (DA) with human skeleton data (SKEL). Our approach connects dance data ...
    • Data Driven 3D Face Tracking Based on a Facial Deformation Model 

      Sibbing, Dominik; Kobbelt, Leif (The Eurographics Association, 2015)
      We introduce a new markerless 3D face tracking approach for 2D video streams captured by a single consumer grade camera. Our approach is based on tracking 2D features in the video and matching them with the projection of ...
    • Data Driven Color Mapping 

      Eisemann, Martin; Albuquerque, Georgia; Magnor, Marcus (The Eurographics Association, 2011)
      In this paper we present a simple, yet effective method to map data set values of different distributions to a color map in order to reveal interesting structures. We make use of an ordering and a simple projection technique ...
    • Data Driven Multi-Hazard Risk Visualization 

      Sharma, Ritesh; Tomson, Ayme; Lobato, Emilio; Kallmann, Marcelo; Padilla, Lace (The Eurographics Association, 2020)
      This work presents an approach for visualizing aggregate spatial risk data for natural hazards in a way which is not restricted by fixed geographical boundaries and is intended to improve multi-risk awareness in at-risk ...
    • Data Driven Synthesis of Hand Grasps from 3-D Object Models 

      Majumder, Soumajit; Chen, Haojiong; Yao, Angela (The Eurographics Association, 2017)
      Modeling and predicting human hand grasping interactions is an active area of research in robotics, computer vision and computer graphics. We tackle the problem of predicting plausible hand grasps and the contact points ...
    • Data Reconstruction from Colored Slice-and-Dice Treemaps 

      Henkel, Markus; Knauthe, Volker; Landesberger, Tatiana von; Guthe, Stefan (The Eurographics Association, 2020)
      Treemaps illustrate hierarchical data, such as file systems or budget structures. Colors are often used to encode additional information or to emphasize the tree structure. Given a treemap, one may want to retrieve the ...
    • Data to Physicalization: A Survey of the Physical Rendering Process 

      Djavaherpour, Hessam; Samavati, Faramarz; Mahdavi-Amiri, Ali; Yazdanbakhsh, Fatemeh; Huron, Samuel; Levy, Richard; Jansen, Yvonne; Oehlberg, Lora (The Eurographics Association and John Wiley & Sons Ltd., 2021)
      Physical representations of data offer physical and spatial ways of looking at, navigating, and interacting with data. While digital fabrication has facilitated the creation of objects with data-driven geometry, rendering ...
    • Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists 

      Palmeiro, João; Malveiro, Beatriz; Costa, Rita; Polido, David; Moreira, Ricardo; Bizarro, Pedro (The Eurographics Association, 2022)
      Machine learning on data streams is increasingly more present in multiple domains. However, there is often data distribution shift that can lead machine learning models to make incorrect decisions. While there are automatic ...
    • A Data-Driven Approach to Categorize Climatic Microenvironments 

      Häb, Kathrin; Middel, Ariane; Ruddell, Benjamin L.; Hagen, Hans (The Eurographics Association, 2016)
      In urban climatology, identifying areas of similar microclimatic conditions helps to relate fine-scale urban morphology variations to their impact on atmospheric surroundings. Mobile transect measurements yield high-resolution ...
    • Data-Driven Completion of Motion Capture Data 

      Baumann, Jan; Krüger, Björn; Zinke, Arno; Weber, Andreas (The Eurographics Association, 2011)
      We present a data-driven method for completion of corrupted marker-based motion capture data. Our novel approach is especially suitable for challenging cases, e.g. if complete marker sets of multiple body parts are missing ...
    • Data-driven Finger Motion Synthesis with Interactions 

      Bitan, Moshe; Jörg, Sophie; Kraus, Sarit (The Eurographics Association, 2016)
      The film and video-game industries' rapidly increasing demand for realistic virtual characters is pushing for the development of fast and efficient character animation techniques. The use of motion capture has become an ...
    • Data-Driven Fire Synthesis and Design 

      Wong, Sai-Keung; Chang, Tse-Ching; Ho, Tan-Chi; Chuang, Jung-Hong (The Eurographics Association, 2014)
      We present a data-driven synthesis approach to design and animate fires in desired shapes and motions. At the preprocessing stage, our system simulates a set of basis fires under specific simulation configurations and ...
    • Data-Driven Iconification 

      Liu, Yiming; Agarwala, Aseem; Lu, Jingwan; Rusinkiewicz, Szymon (The Eurographics Association, 2016)
      Pictograms (icons) are ubiquitous in visual communication, but creating the best icon is not easy: users may wish to see a variety of possibilities before settling on a final form, and they might lack the ability to draw ...
    • Data-driven Pixel Filter Aware MIP Maps for SVBRDFs 

      Kemppinen, Pauli; Aittala, Miika; Lehtinen, Jaakko (The Eurographics Association, 2023)
      We propose a data-driven approach for generating MIP map pyramids from SVBRDF parameter maps. We learn a latent material representation where linear image downsampling corresponds to linear prefiltering of surface reflectance. ...