Woontack Woo

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Woontack Woo trusts overall

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

  1. David G. Lowe
  2. Vincent Lepetit
  3. Pascal Fua
  4. Georg S. W. Klein

Papers from Woontack Woo's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Scalable Recognition with a Vocabulary Tree
  3. Fast Keypoint Recognition in Ten Lines of Code
  4. SURF: Speeded Up Robust Features (European Conference on Computer Vision)
  5. Parallel Tracking and Mapping for Small AR Workspaces
  6. Monocular Model-Based 3D Tracking of Rigid Objects: A Survey (Foundations and Trends in Computer Graphics and Vision)
  7. Markov chain Monte Carlo data association for general multiple-target tracking problems (IEEE Conference on Decision and Control)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Accurate Non-Iterative O(n) Solution to the PnP Problem (IEEE International Conference on Computer Vision)

Their papers