Tim Johnson

Computer Vision and Pattern Recognition · 2010

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

Subfields

Whom Tim Johnson trusts overall

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

  1. Yasutaka Furukawa
  2. David G. Lowe
  3. Noah Snavely

Who trusts Tim Johnson overall

  1. Filip Radenovic

Papers from Tim Johnson's perspective

Ordered by how strongly the researchers Tim Johnson 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  5. ImageNet classification with deep convolutional neural networks
  6. Online Submission ID: 0184 Photo Tourism: Exploring Photo Collections in 3D
  7. Building Rome in a day
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers