Eric Kee

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Kee trusts overall

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

  1. Hany Farid
  2. Alin C. Popescu
  3. Xunyu Pan
  4. Kaiming He
  5. Diederik P. Kingma
  6. Ross B. Girshick
  7. Micah K. Johnson
  8. Geoffrey E. Hinton
  9. Siwei Lyu
  10. Alex Krizhevsky

Who trusts Eric Kee overall

  1. Shruti Agarwal
  2. Luisa Verdoliva
  3. Gajanan K. Birajdar
  4. Hany Farid
  5. Vijay Harishchandra Mankar

Papers from Eric Kee's perspective

Ordered by how strongly the researchers Eric Kee 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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