Ziad Al-Halah

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 473 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ziad Al-Halah trusts overall

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

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

Who trusts Ziad Al-Halah overall

  1. Peter Karkus

Papers from Ziad Al-Halah's perspective

Ordered by how strongly the researchers Ziad Al-Halah 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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