Kai Xu
Scholar

Kai Xu

Google Scholar ID: GuVkg-8AAAAJ
Professor, National University of Defense Technology, China
Computer Graphics3D VisionEmbodied AI
Citations & Impact
All-time
Citations
7,298
 
H-index
45
 
i10-index
117
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Papers accepted to top-tier venues including SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, AAAI, ICRA, ICLR, RSS, TPAMI, TRO, etc.
  • 2024: LLM-enhanced household rearrangement paper conditionally accepted to SIGGRAPH Asia 2024
  • 2023: Generic shape bin packing paper accepted by TOG (to appear at SIGGRAPH 2024); MIPS-Fusion paper conditionally accepted to SIGGRAPH Asia 2023; three papers accepted to ICCV 2023
  • 2023: Five papers accepted to CVPR 2023, two to ICRA 2023, one oral paper to AAAI 2023
  • 2022: Single-view symmetry detection paper accepted to TPAMI; fast-camera-motion RGB-D reconstruction paper accepted to TRO
  • 2022: Five papers accepted to CVPR 2022; DRL-based online bin packing paper accepted to ICLR 2022; IBS-based grasping modeling paper accepted to SIGGRAPH 2022
  • 2021: Fast-camera-motion RGB-D reconstruction paper accepted to SIGGRAPH 2021; two papers accepted to CVPR 2021
  • 2020: End-to-end learnable symmetry prediction from single-view RGB-D accepted to SIGGRAPH Asia 2020; differentiable grasp planner accepted to RSS 2020; five papers accepted to CVPR 2020
  • 2019: Multi-robot scene reconstruction paper conditionally accepted to SIGGRAPH 2019; three papers accepted to CVPR 2019 (one oral)
  • Released PartNet-Symh dataset, an extension of PartNet with hierarchical fine-grained part annotations
  • Open-sourced code and benchmarks for CVPR 2019 papers: Shape2Motion, PartNet, and HierContext
  • Co-organized a tutorial at Eurographics 2019
Background
  • Professor at the School of Computer Science, National University of Defense Technology (NUDT)
  • Adjunct Professor at Simon Fraser University
  • Research areas include computer graphics and computer vision
  • Current research interests: data-driven shape analysis and modeling, 3D vision, robot perception & navigation
  • Leading the iGRAPE Lab @ NUDT