Now showing items 1-9 of 9

    • Active Scene Understanding via Online Semantic Reconstruction 

      Zheng, Lintao; Zhu, Chenyang; Zhang, Jiazhao; Zhao, Hang; Huang, Hui; Niessner, Matthias; Xu, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2019)
      We propose a novel approach to robot-operated active understanding of unknown indoor scenes, based on online RGBD reconstruction with semantic segmentation. In our method, the exploratory robot scanning is both driven by ...
    • CGVC 2020: Frontmatter 

      Ritsos, Panagiotis D.; Xu, Kai (The Eurographics Association, 2020)
    • CGVC 2021: Frontmatter 

      Xu, Kai; Turner, Martin (The Eurographics Association, 2021)
    • Data‐Driven Shape Analysis and Processing 

      Xu, Kai; Kim, Vladimir G.; Huang, Qixing; Kalogerakis, Evangelos (© 2017 The Eurographics Association and John Wiley & Sons Ltd., 2017)
      Data‐driven methods serve an increasingly important role in discovering geometric, structural and semantic relationships between shapes. In contrast to traditional approaches that process shapes in isolation of each other, ...
    • Learning Generative Models of 3D Structures 

      Chaudhuri, Siddhartha; Ritchie, Daniel; Wu, Jiajun; Xu, Kai; Zhang, Hao (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      3D models of objects and scenes are critical to many academic disciplines and industrial applications. Of particular interest is the emerging opportunity for 3D graphics to serve artificial intelligence: computer vision ...
    • Learning Generative Models of 3D Structures 

      Chaudhuri, Siddhartha; Ritchie, Daniel; Xu, Kai; Zhang, Hao (Richard) (The Eurographics Association, 2019)
      Many important applications demand 3D content, yet 3D modeling is a notoriously difficult and inaccessible activity. This tutorial provides a crash course in one of the most promising approaches for democratizing 3D modeling: ...
    • Survey on the Analysis of User Interactions and Visualization Provenance 

      Xu, Kai; Ottley, Alvitta; Walchshofer, Conny; Streit, Marc; Chang, Remco; Wenskovitch, John (The Eurographics Association and John Wiley & Sons Ltd., 2020)
      There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As a result, there ...
    • Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response 

      Sondag, Max; Turkay, Cagatay; Xu, Kai; Matthews, Louise; Mohr, Sibylle; Archambault, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex 'infection maps' ...
    • 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 ...