Mohammed Korayem

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mohammed Korayem trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Yann LeCun
  4. L. Eon Bottou
  5. Ken Chatfield
  6. Maxime Oquab
  7. Yoshua Bengio
  8. Bill Triggs
  9. Roberto Hoyle
  10. Alex Krizhevsky

Who trusts Mohammed Korayem overall

  1. Pablo Speciale
  2. Chenyou Fan
  3. Richard McPherson
  4. Johannes L. Schönberger
  5. Reza Shokri
  6. Sudipta N. Sinha
  7. Zehua Zhang

Papers from Mohammed Korayem's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Histograms of oriented gradients for human detection
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers