Colin P. Elkin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Colin P. Elkin trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Md. Zahangir Alom
  6. Tom Fawcett
  7. David Martin Ward Powers
  8. Ross B. Girshick
  9. Evan Shelhamer
  10. Yoshua Bengio

Papers from Colin P. Elkin's perspective

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

Their papers