Kin Leong Ho

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kin Leong Ho trusts overall

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

  1. David G. Lowe
  2. David Nistér
  3. Krystian Mikolajczyk
  4. Temple F. Smith

Who trusts Kin Leong Ho overall

  1. Michael Milford
  2. Paul M. Newman
  3. Tim Bailey
  4. Mark Joseph Cummins
  5. Friedrich Fraundorfer
  6. Andreas Nüchter
  7. Dave Cole

Papers from Kin Leong Ho's perspective

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

  1. Object recognition from local scale-invariant features
  2. Multiple View Geometry in Computer Vision
  3. Video Google: a text retrieval approach to object matching in videos
  4. Scale & Affine Invariant Interest Point Detectors
  5. An efficient solution to the five-point relative pose problem (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. The SPmap: a probabilistic framework for simultaneous localization and map building
  7. Data association in stochastic mapping using the joint compatibility test (IEEE Trans. Robotics Autom.)
  8. Identification of common molecular subsequences.
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers