Mohamed E. Hussein

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 132 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed E. Hussein trusts overall

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

  1. Chih-Jen Lin
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Zhengyou Zhang
  6. Yaojie Liu
  7. Mohammad Rostami
  8. Wanqing Li
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Mohamed E. Hussein overall

  1. Seungryul Baek
  2. Fei Han
  3. Jun Liu
  4. Tae-Kyun Kim
  5. Kwang In Kim

Papers from Mohamed E. Hussein's perspective

Ordered by how strongly the researchers Mohamed E. Hussein 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers