Mohamed Omran

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 8 papers; trusts 1,150 researchers and is trusted by 3,003 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Omran trusts overall

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

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

Who trusts Mohamed Omran overall

  1. Luc Van Gool
  2. Liang-Chieh Chen
  3. Kaiming He
  4. Xiaodan Liang
  5. Vladlen Koltun
  6. Bernt Schiele
  7. Chunhua Shen
  8. Shanshan Zhang
  9. Xiaogang Wang
  10. Trevor Darrell

Papers from Mohamed Omran's perspective

Ordered by how strongly the researchers Mohamed Omran 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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