Dotan Kaufman

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dotan Kaufman trusts overall

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

  1. Karen Simonyan
  2. Ce Liu
  3. Tal Hassner
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yoshua Bengio
  9. Florent Perronnin
  10. Yann LeCun

Who trusts Dotan Kaufman overall

  1. Farzaneh Mahdisoltani
  2. Huaishao Luo

Papers from Dotan Kaufman's perspective

Ordered by how strongly the researchers Dotan Kaufman 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers