Kegan G. G. Samuel

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Kegan G. G. Samuel trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Yair Weiss
  5. Stefan Roth
  6. B. Taskar
  7. Daniel Scharstein
  8. William T. Freeman
  9. Alex Krizhevsky
  10. Olivier Chapelle

Who trusts Kegan G. G. Samuel overall

  1. Philipp Krahenbuhl
  2. Karl Kunisch
  3. Uwe Schmidt
  4. Stephen Gould
  5. P. MarinVlastelica
  6. Kai Zhang
  7. Renjie Liao
  8. Thomas Pock
  9. Vladlen Koltun
  10. Stefan Roth

Papers from Kegan G. G. Samuel's perspective

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

Their papers