Alan F. Smeaton

Computer Vision and Pattern Recognition · 2004–2020

A researcher in the Science corpus: 9 papers; trusts 538 researchers and is trusted by 118 researchers here, as inferred from the citation graph.

Subfields

Whom Alan F. Smeaton trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. David G. Lowe
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts Alan F. Smeaton overall

  1. Lixin Duan
  2. K. V. D. Sande
  3. Rosalind W. Picard
  4. Mark Sanderson
  5. Cees G. M. Snoek
  6. Mark J. Huiskes
  7. Damian Borth
  8. David Grangier
  9. Yu-Gang Jiang
  10. Darin Brezeale

Papers from Alan F. Smeaton's perspective

Ordered by how strongly the researchers Alan F. Smeaton 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers