Now showing items 237-256 of 267

    • Tessellated Shading Streaming 

      Hladky, Jozef; Seidel, Hans-Peter; Steinberger, Markus (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Presenting high-fidelity 3D content on compact portable devices with low computational power is challenging. Smartphones, tablets and head-mounted displays (HMDs) suffer from thermal and battery-life constraints and thus ...
    • TexNN: Fast Texture Encoding Using Neural Networks 

      Pratapa, S.; Olson, T.; Chalfin, A.; Manocha, D. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a novel deep learning‐based method for fast encoding of textures into current texture compression formats. Our approach uses state‐of‐the‐art neural network methods to compute the appropriate encoding configurations ...
    • Topic Tomographies (TopTom): a Visual Approach to Distill Information From Media Streams 

      Gobbo, Beatrice; Balsamo, Duilio; Mauri, Michele; Bajardi, Paolo; Panisson, André; CIUCCARELLI, PAOLO (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper we present TopTom, a digital platform whose goal is to provide analytical and visual solutions for the exploration of a dynamic corpus of user-generated messages and media articles, with the aim of i) distilling ...
    • Topology Preserving Simplification of Medial Axes in 3D Models 

      Chu, Yiyao; Hou, Fei; Wang, Wencheng; Li, Lei (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose an efficient method for topology-preserving simplification of medial axes of 3D models. Existing methods either cannot preserve the topology during medial axes simplification or have the problem of being ...
    • Toward Understanding Representation Methods in Visualization Recommendations through Scatterplot Construction Tasks 

      L'Yi, Sehi; Chang, Youli; Shin, DongHwa; Seo, Jinwook (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Most visualization recommendation systems predominantly rely on graphical previews to describe alternative visual encodings. However, since InfoVis novices are not familiar with visual representations (e.g., interpretation ...
    • Towards Glyphs for Uncertain Symmetric Second-Order Tensors 

      Gerrits, Tim; Rössl, Christian; Theisel, Holger (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Measured data often incorporates some amount of uncertainty, which is generally modeled as a distribution of possible samples. In this paper, we consider second-order symmetric tensors with uncertainty. In the 3D case, ...
    • Towards Robust Direction Invariance in Character Animation 

      Ma, Li-Ke; Yang, Zeshi; Guo, Baining; Yin, KangKang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In character animation, direction invariance is a desirable property. That is, a pose facing north and the same pose facing south are considered the same; a character that can walk to the north is expected to be able to ...
    • Turning a Digital Camera into an Absolute 2D Tele‐Colorimeter 

      Guarnera, G. C.; Bianco, S.; Schettini, R. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a simple and effective technique for absolute colorimetric camera characterization, invariant to changes in exposure/aperture and scene irradiance, suitable in a wide range of applications including image‐based ...
    • Two-phase Hair Image Synthesis by Self-Enhancing Generative Model 

      Qiu, Haonan; Wang, Chuan; Zhu, Hang; zhu, xiangyu; Gu, Jinjin; Han, Xiaoguang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Generating plausible hair image given limited guidance, such as sparse sketches or low-resolution image, has been made possible with the rise of Generative Adversarial Networks (GANs). Traditional image-to-image translation ...
    • A Unified Neural Network for Panoptic Segmentation 

      Yao, Li; Chyau, Ang (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we propose a unified neural network for panoptic segmentation, a task aiming to achieve more fine-grained segmentation. Following existing methods combining semantic and instance segmentation, our method ...
    • Unsupervised Cycle-consistent Deformation for Shape Matching 

      Groueix, Thibault; Fisher, Matthew; Kim, Vladimir G.; Russel, Bryan C.; Aubry, Mathieu (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a self-supervised approach to deep surface deformation. Given a pair of shapes, our algorithm directly predicts a parametric transformation from one shape to the other respecting correspondences. Our insight is ...
    • Unsupervised Dense Light Field Reconstruction with Occlusion Awareness 

      Ni, Lixia; Jiang, Haiyong; Cai, Jianfei; Zheng, Jianmin; Li, Haifeng; Liu, Xu (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Light field (LF) reconstruction is a fundamental technique in light field imaging and has applications in both software and hardware aspects. This paper presents an unsupervised learning method for LF-oriented view synthesis, ...
    • Urban Walkability Design Using Virtual Population Simulation 

      Mathew, C. D. Tharindu; Knob, Paulo R.; Musse, Soraia Raupp; Aliaga, Daniel G. (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We present a system to generate a procedural environment that produces a desired crowd behaviour. Instead of altering the behavioural parameters of the crowd itself, we automatically alter the environment to yield such ...
    • A User-based Visual Analytics Workflow for Exploratory Model Analysis 

      Cashman, Dylan; Humayoun, Shah Rukh; Heimerl, Florian; Park, Kendall; Das, Subhajit; Thompson, John; Saket, Bahador; Mosca, Abigail; Stasko, John; Endert, Alex; Gleicher, Michael; Chang, Remco (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important ...
    • User‐Guided Facial Animation through an Evolutionary Interface 

      Reed, K.; Cosker, D. (© 2019 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2019)
      We propose a design framework to assist with user‐generated content in facial animation — without requiring any animation experience or ground truth reference. Where conventional prototyping methods rely on handcrafting ...
    • V-Awake: A Visual Analytics Approach for Correcting Sleep Predictions from Deep Learning Models 

      Garcia Caballero, Humberto; Westenberg, Michel; Gebre, Binyam; Wijk, Jarke J. van (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      The usage of deep learning models for tagging input data has increased over the past years because of their accuracy and highperformance. A successful application is to score sleep stages. In this scenario, models are ...
    • A Variational Approach to Registration with Local Exponential Coordinates 

      Paman, Ashish; Rangarajan, Ramsharan (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We identify a novel parameterization for the group of finite rotations (SO), consisting of an atlas of exponential maps defined over local tangent planes, for the purpose of computing isometric transformations in registration ...
    • VIAN: A Visual Annotation Tool for Film Analysis 

      Halter, Gaudenz; Ballester-Ripoll, Rafael; Flueckiger, Barbara; Pajarola, Renato (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      While color plays a fundamental role in film design and production, existing solutions for film analysis in the digital humanities address perceptual and spatial color information only tangentially. We introduce VIAN, a ...
    • VisFM: Visual Analysis of Image Feature Matchings 

      Li, Chenhui; Baciu, George (© 2019 The Eurographics Association and John Wiley & Sons Ltd., 2019)
      Feature matching is the most basic and pervasive problem in computer vision and it has become a primary component in big data analytics. Many tools have been developed for extracting and matching features in video streams ...
    • Visibility-Aware Progressive Farthest Point Sampling on the GPU 

      Brandt, Sascha; Jähn, Claudius; Fischer, Matthias; Heide, Friedhelm Meyer auf der (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      In this paper, we present the first algorithm for progressive sampling of 3D surfaces with blue noise characteristics that runs entirely on the GPU. The performance of our algorithm is comparable to state-of-the-art GPU ...