Johannes Dörr

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Johannes Dörr trusts overall

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

  1. Emanuele Trucco
  2. J. Mundy

Papers from Johannes Dörr's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Object class recognition by unsupervised scale-invariant learning
  3. Video Google: a text retrieval approach to object matching in videos
  4. Putting Objects in Perspective
  5. Scalable Recognition with a Vocabulary Tree
  6. Movement imitation with nonlinear dynamical systems in humanoid robots
  7. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
  8. Visual learning and recognition of 3-d objects from appearance
  9. The Symbol Grounding Problem
  10. Retrieving actions in movies (IEEE International Conference on Computer Vision)

Their papers