Saif Alabachi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saif Alabachi trusts overall

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

  1. Ross B. Girshick
  2. Christian Szegedy
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Yann LeCun
  8. Sergey Ioffe
  9. Ilya Sutskever
  10. Andrew Zisserman

Papers from Saif Alabachi's perspective

Ordered by how strongly the researchers Saif Alabachi 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. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers