Steve Harwin

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Harwin trusts overall

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

  1. David G. Lowe
  2. Heiko Hirschmüller
  3. Christopher Evans
  4. Christoph Strecha
  5. Krystian Mikolajczyk
  6. Yan Ke
  7. Yasutaka Furukawa
  8. Noah Snavely
  9. Richard Szeliski
  10. S. M. Seitz

Who trusts Steve Harwin overall

  1. Jonathan P. Dandois
  2. Darren Turner
  3. Mark W. Smith
  4. Erle C. Ellis
  5. Julián Tomastík
  6. Arko Lucieer
  7. Marc Olano
  8. Jonathan L. Carrivick
  9. Martin Mokros
  10. Ismael Colomina

Papers from Steve Harwin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers