Browsing 39-Issue 7 by Subject "based models"

Now showing items 1-4 of 4

    • FAKIR: An Algorithm for Revealing the Anatomy and Pose of Statues from Raw Point Sets 

      Fu, Tong; Chaine, Raphaelle; Digne, Julie (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, ...

    • 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 ...

    • 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 ...

    • Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images 

      Niu, Chengjie; Yu, Yang; Bian, Zhenwei; Li, Jun; Xu, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      In order for the deep learning models to truly understand the 2D images for 3D geometry recovery, we argue that singleview reconstruction should be learned in a part-aware and weakly supervised manner. Such models lead to ...