Mohamed A. Elgharib

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 285 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed A. Elgharib trusts overall

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

  1. Ce Liu
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Matthew D. Zeiler
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yoshua Bengio
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Mohamed A. Elgharib overall

  1. Peihao Zhu
  2. Yichao Zhang
  3. Yuval Alaluf
  4. Tae-Hyun Oh
  5. Daniel Roich
  6. Rameen Abdal
  7. Or Patashnik
  8. Xingang Pan
  9. Yisroel Mirsky
  10. Zongze Wu

Papers from Mohamed A. Elgharib's perspective

Ordered by how strongly the researchers Mohamed A. Elgharib 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers