Kfir Aberman

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 353 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Kfir Aberman trusts overall

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

  1. Karen Simonyan
  2. David G. Lowe
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Kaiming He
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Ross B. Girshick

Who trusts Kfir Aberman overall

  1. Nicholas I. Kolkin
  2. Jason Salavon

Papers from Kfir Aberman's perspective

Ordered by how strongly the researchers Kfir Aberman 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. ImageNet: A large-scale hierarchical image database
  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