Guofeng Zhang

Computer Vision and Pattern Recognition · with Li · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guofeng Zhang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Andrew J. Davison (in Computer Vision and Pattern Recognition)
  2. Richard A. Newcombe (in Computer Vision and Pattern Recognition)
  3. Daniel Cremers (in Computer Vision and Pattern Recognition)
  4. José M. M. Montiel (in Computer Vision and Pattern Recognition)

Papers from Guofeng Zhang's perspective

Ordered by how strongly the researchers Guofeng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. KinectFusion: Real-time dense surface mapping and tracking
  2. A volumetric method for building complex models from range images
  3. DTAM: Dense tracking and mapping in real-time
  4. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  5. A benchmark for the evaluation of RGB-D SLAM systems
  6. Real-time 3D reconstruction at scale using voxel hashing
  7. ORB-SLAM: A Versatile and Accurate Monocular SLAM System
  8. ElasticFusion: Dense SLAM Without A Pose Graph
  9. Dense visual SLAM for RGB-D cameras (2013 IEEE/RSJ International Conference on Intelligent Robots and Systems)
  10. Live dense reconstruction with a single moving camera (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)

Their papers