Omar Y. Al-Jarrah

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Omar Y. Al-Jarrah trusts overall

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

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

Who trusts Omar Y. Al-Jarrah overall

  1. Jafar Ahmad Abed Alzubi
  2. Rohit Sharma
  3. Anand Nayyar
  4. Rui Qian

Papers from Omar Y. Al-Jarrah's perspective

Ordered by how strongly the researchers Omar Y. Al-Jarrah 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  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. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers