Stan Birchfield

Computer Vision and Pattern Recognition · 2005–2021

A researcher in the Science corpus: 10 papers; trusts 547 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Stan Birchfield trusts overall

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

  1. Robert T. Collins
  2. Kaiming He
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. M. Swain
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Dorin Comaniciu
  10. Christian Szegedy

Who trusts Stan Birchfield overall

  1. Laura Sevilla-Lara
  2. Yi Wu
  3. Josip Krapac
  4. Eric Learned-Miller
  5. Jongwoo Lim
  6. Jakob Verbeek
  7. Douglas T. Gray
  8. Ming-Hsuan Yang
  9. Frédéric Jurie
  10. Sergey I. Nikolenko

Papers from Stan Birchfield's perspective

Ordered by how strongly the researchers Stan Birchfield 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers