Kyle Wilson

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Wilson trusts overall

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

  1. Venu Madhav Govindu
  2. Carlo Tomasi
  3. Dan Martinec
  4. Pierre Moulon
  5. David J. Crandall
  6. Mica Arie-Nachimson
  7. Tomás Pajdla
  8. Sameer Agarwal
  9. Takeo Kanade
  10. Jan-Michael Frahm

Who trusts Kyle Wilson overall

  1. Johannes L. Schönberger
  2. Pablo Speciale
  3. Kwang Moo Yi
  4. Pierre Moulon
  5. Daniel Barath
  6. Onur Özyesil
  7. Mihai Dusmanu
  8. Marc Pollefeys
  9. Eduard Trulls
  10. Hans Hardmeier

Papers from Kyle Wilson's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Online Submission ID: 0184 Photo Tourism: Exploring Photo Collections in 3D
  4. ImageNet classification with deep convolutional neural networks
  5. Building Rome in a day
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers