Mohamed Zahran

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 157 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Zahran trusts overall

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

  1. Ross B. Girshick
  2. Joseph Redmon
  3. Karen Simonyan
  4. Andreas Geiger
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Andrew Zisserman
  9. Yann LeCun
  10. Jitendra Malik

Papers from Mohamed Zahran's perspective

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

Their papers