John Kua

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom John Kua trusts overall

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

  1. David G. Lowe
  2. Andrea Censi
  3. Mark Joseph Cummins
  4. Paul M. Newman
  5. M. Bosse

Who trusts John Kua overall

  1. Fereshteh Sadeghi
  2. Sergey Levine

Papers from John Kua's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
  3. MonoSLAM: Real-Time Single Camera SLAM
  4. Continuous 3D scan-matching with a spinning 2D laser (IEEE International Conference on Robotics and Automation)
  5. An ICP variant using a point-to-line metric (IEEE International Conference on Robotics and Automation)
  6. Globally consistent 3D mapping with scan matching (Robotics Auton. Syst.)
  7. Histograms of oriented gradients for human detection
  8. Gradient-based learning applied to document recognition
  9. Object recognition from local scale-invariant features
  10. Video Google: a text retrieval approach to object matching in videos

Their papers