Ariel Shamir

Computer Vision and Pattern Recognition · 2007–2022

A researcher in the Science corpus: 9 papers; trusts 564 researchers and is trusted by 261 researchers here, as inferred from the citation graph.

Subfields

Whom Ariel Shamir trusts overall

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

  1. Irving Biederman
  2. Sagi Katz
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. David G. Lowe
  6. Alex Krizhevsky
  7. Marco Attene
  8. Karen Simonyan
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Ariel Shamir overall

  1. Yunhai Wang
  2. Quentin Mérigot
  3. Yifei Shi
  4. Hao Zhang
  5. Leonidas J. Guibas
  6. Qi-Xing Huang
  7. Daniel Cohen-Or
  8. Ming-Ming Cheng
  9. Sergey I. Nikolenko
  10. Siddhartha Chaudhuri

Papers from Ariel Shamir's perspective

Ordered by how strongly the researchers Ariel Shamir 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. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers