Now showing items 1-20 of 54

    • RadEx: Integrated Visual Exploration of Multiparametric Studies for Radiomic Tumor Profiling 

      Mörth, Eric; Wagner-Larsen, Kari; Hodneland, Erlend; Krakstad, Camilla; Haldorsen, Ingfrid S.; Bruckner, Stefan; Smit, Noeska N. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Better understanding of the complex processes driving tumor growth and metastases is critical for developing targeted treatment strategies in cancer. Radiomics extracts large amounts of features from medical images which ...
    • Visual Analytics in Dental Aesthetics 

      Amirkhanov, Aleksandr; Bernhard, Matthias; Karimov, Alexey; Stiller, Sabine; Geier, Andreas; Gröller, Eduard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Dental healthcare increasingly employs computer-aided design software, to provide patients with high-quality dental prosthetic devices. In modern dental reconstruction, dental technicians address the unique anatomy of each ...
    • Slice and Dice: A Physicalization Workflow for Anatomical Edutainment 

      Raidou, Renata Georgia; Gröller, Eduard; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      During the last decades, anatomy has become an interesting topic in education-even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications ...
    • Learning Elastic Constitutive Material and Damping Models 

      Wang, Bin; Deng, Yuanmin; Kry, Paul; Ascher, Uri; Huang, Hui; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Commonly used linear and nonlinear constitutive material models in deformation simulation contain many simplifications and only cover a tiny part of possible material behavior. In this work we propose a framework for ...
    • Memory-Efficient Bijective Parameterizations of Very-Large-Scale Models 

      Ye, Chunyang; Su, Jian-Ping; Liu, Ligang; Fu, Xiao-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      As high-precision 3D scanners become more and more widespread, it is easy to obtain very-large-scale meshes containing at least millions of vertices. However, processing these very-large-scale meshes is still a very ...
    • Not All Areas Are Equal: A Novel Separation-Restoration-Fusion Network for Image Raindrop Removal 

      Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Detecting and removing raindrops from an image while keeping the high quality of image details has attracted tremendous studies, but remains a challenging task due to the inhomogeneity of the degraded region and the ...
    • InstanceFusion: Real-time Instance-level 3D Reconstruction Using a Single RGBD Camera 

      Lu, Feixiang; Peng, Haotian; Wu, Hongyu; Yang, Jun; Yang, Xinhang; Cao, Ruizhi; Zhang, Liangjun; Yang, Ruigang; Zhou, Bin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We present InstanceFusion, a robust real-time system to detect, segment, and reconstruct instance-level 3D objects of indoor scenes with a hand-held RGBD camera. It combines the strengths of deep learning and traditional ...
    • CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal 

      Zhang, Ling; Long, Chengjiang; Yan, Qingan; Zhang, Xiaolong; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In this paper, we propose a novel context and lightness aware Generative Adversarial Network (CLA-GAN) framework for shadow removal, which refines a coarse result to a final shadow removal result in a coarse-to-fine fashion. ...
    • A Deep Residual Network for Geometric Decontouring 

      Ji, Zhongping; Zhou, Chengqin; Zhang, Qiankan; Zhang, Yu-Wei; Wang, Wenping (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Grayscale images are intensively used to construct or represent geometric details in field of computer graphics. In practice, displacement mapping technique often allows an 8-bit grayscale image input to manipulate the ...
    • SRNet: A 3D Scene Recognition Network using Static Graph and Dense Semantic Fusion 

      Fan, Zhaoxin; Liu, Hongyan; He, Jun; Sun, Qi; Du, Xiaoyong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Point cloud based 3D scene recognition is fundamental to many real world applications such as Simultaneous Localization and Mapping (SLAM). However, most of existing methods do not take full advantage of the contextual ...
    • A Graph-based One-Shot Learning Method for Point Cloud Recognition 

      Fan, Zhaoxin; Liu, Hongyan; He, Jun; Sun, Qi; Du, Xiaoyong (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Point cloud based 3D vision tasks, such as 3D object recognition, are critical to many real world applications such as autonomous driving. Many point cloud processing models based on deep learning have been proposed by ...
    • Multi-scale Information Assembly for Image Matting 

      Qiao, Yu; Liu, Yuhao; Zhu, Qiang; Yang, Xin; Wang, Yuxin; Zhang, Qiang; Wei, Xiaopeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.We argue that the foreground objects can be represented by different-level ...
    • Generating High-quality Superpixels in Textured Images 

      Zhang, Zhe; Xu, Panpan; Chang, Jian; Wang, Wencheng; Zhao, Chong; Zhang, Jian Jun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate ...
    • Two-stage Resampling for Bidirectional Path Tracing with Multiple Light Sub-paths 

      Nabata, Kosuke; Iwasaki, Kei; Dobashi, Yoshinori (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Recent advances in bidirectional path tracing (BPT) reveal that the use of multiple light sub-paths and the resampling of a small number of these can improve the efficiency of BPT. By increasing the number of pre-sampled ...
    • Fast Out-of-Core Octree Generation for Massive Point Clouds 

      Schütz, Markus; Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      We propose an efficient out-of-core octree generation method for arbitrarily large point clouds. It utilizes a hierarchical counting sort to quickly split the point cloud into small chunks, which are then processed in ...
    • A Multi-Person Selfie System via Augmented Reality 

      Lin, Jie; Yang, Chuan-Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      The limited length of a selfie stick always poses the problem of distortion in a selfie, in spite of the prevalence of selfie stick in recent years.We propose a technique, based on modifying existing augmented reality ...
    • Next Event Estimation++: Visibility Mapping for Efficient Light Transport Simulation 

      Guo, Jerry Jinfeng; Eisemann, Martin; Eisemann, Elmar (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Monte-Carlo rendering requires determining the visibility between scene points as the most common and compute intense operation to establish paths between camera and light source. Unfortunately, many tests reveal occlusions ...
    • Two-stage Photograph Cartoonization via Line Tracing 

      Li, Simin; Wen, Qiang; Zhao, Shuang; Sun, Zixun; He, Shengfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Cartoon is highly abstracted with clear edges, which makes it unique from the other art forms. In this paper, we focus on the essential cartoon factors of abstraction and edges, aiming to cartoonize real-world photographs ...
    • SCGA-Net: Skip Connections Global Attention Network for Image Restoration 

      Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      Deep convolutional neural networks (DCNN) have shown their advantages in the image restoration tasks. But most existing DCNN-based methods still suffer from the residual corruptions and coarse textures. In this paper, we ...
    • Semi-Supervised 3D Shape Recognition via Multimodal Deep Co-training 

      Song, Mofei; Liu, Yu; Liu, Xiao Fan (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D shape recognition has been actively investigated in the field of computer graphics. With the rapid development of deep learning, various deep models have been introduced and achieved remarkable results. Most 3D shape ...