Andrew Howard

Computer Vision and Pattern Recognition · Int. J. Robotics Res. · 2001–2008

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 101 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Howard trusts overall

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

  1. Sebastian Thrun
  2. Wolfram Burgard
  3. Dieter Fox
  4. David G. Lowe
  5. Brian Yamauchi
  6. Mark Moors
  7. Michael Montemerlo
  8. Reid G. Simmons
  9. Brian P. Gerkey
  10. Maja J. Mataric

Who trusts Andrew Howard overall

  1. Abraham Bachrach
  2. Richard T. Vaughan
  3. Sajad Saeedi
  4. Guiling Wang
  5. Yi Zou
  6. Nojeong Heo
  7. Nadeem Ahmed
  8. Bernd Kitt
  9. Krishnendu Chakrabarty
  10. Amitava Ghosh

Papers from Andrew Howard's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Et al
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers