Michael Paton

2015

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

Whom Michael Paton trusts overall

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

  1. Paul Timothy Furgale
  2. Herbert Bay
  3. T. Barfoot
  4. Andreas Ess

Papers from Michael Paton's perspective

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

  1. Speeded-Up Robust Features (SURF)
  2. Visual teach and repeat for long‐range rover autonomy
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Histograms of oriented gradients for human detection
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers