Noureldien Hussein

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 463 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Noureldien Hussein trusts overall

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

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

Who trusts Noureldien Hussein overall

  1. Tushar Nagarajan
  2. Jingwei Ji
  3. Haodong Duan
  4. Christoph Feichtenhofer
  5. Yanghao Li
  6. Ranjay Krishna
  7. Yue Zhao
  8. Kristen Grauman

Papers from Noureldien Hussein's perspective

Ordered by how strongly the researchers Noureldien Hussein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers