Roei Herzig

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roei Herzig trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Li Fei-Fei
  10. Karen Simonyan

Papers from Roei Herzig's perspective

Ordered by how strongly the researchers Roei Herzig 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers