Micah K. Johnson

Computer Vision and Pattern Recognition · 2005–2011

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 106 researchers here, as inferred from the citation graph.

Subfields

Whom Micah K. Johnson trusts overall

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

  1. Jessica J. Fridrich
  2. Alin C. Popescu
  3. David G. Lowe
  4. Robert J. Woodham
  5. Hany Farid
  6. Aaron Hertzmann
  7. Ronen Basri
  8. Ravi Ramamoorthi
  9. Jeremy S. De Bonet
  10. Jan Lukás

Who trusts Micah K. Johnson overall

  1. Hany Farid
  2. Matthew Christopher Stamm
  3. Luisa Verdoliva
  4. Babak Mahdian
  5. Jonathan T. Barron
  6. Yu-Feng Hsu
  7. Min Wu
  8. K.J.R. Liu
  9. Alessandro Piva
  10. Gajanan K. Birajdar

Papers from Micah K. Johnson's perspective

Ordered by how strongly the researchers Micah K. Johnson 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Distinctive Image Features from Scale-Invariant Keypoints
  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