Peter Henry

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 5 papers; trusts 224 researchers and is trusted by 210 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Henry trusts overall

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

  1. David Nistér
  2. Sebastian Thrun
  3. Changchang Wu
  4. David G. Lowe
  5. Michael Krainin
  6. Yasutaka Furukawa
  7. Szymon Rusinkiewicz
  8. Kurt Konolige
  9. Dieter Fox
  10. Edward Rosten

Who trusts Peter Henry overall

  1. Kevin Lai
  2. Liefeng Bo
  3. Christian Kerl
  4. Jürgen Sturm
  5. Xiaofeng Ren
  6. Dieter Fox
  7. Khalid Yousif
  8. Alex Teichman
  9. Michael Krainin
  10. Markus Achtelik

Papers from Peter Henry's perspective

Ordered by how strongly the researchers Peter Henry 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers