Colin S. Lea

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 3 papers; trusts 279 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Colin S. Lea trusts overall

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

  1. Alireza Fathi
  2. Karen Simonyan
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Alex Graves
  8. Andrew Zisserman
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Colin S. Lea overall

  1. Daochang Liu
  2. Alexander Richard
  3. Yazan Abu Farha
  4. Juergen Gall
  5. Jun Li
  6. Tingting Jiang
  7. Yuichiro Koyama
  8. Hilde Kuehne
  9. Yi Luo
  10. Yuzhou Liu

Papers from Colin S. Lea's perspective

Ordered by how strongly the researchers Colin S. Lea 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers