Mahmoud Afifi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mahmoud Afifi trusts overall

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

  1. Andrew C. Gallagher
  2. Gil Levi
  3. Mei Ngan
  4. David E. Rumelhart
  5. Patrick Pérez
  6. Eran Eidinger
  7. Jordi Mansanet
  8. Tal Hassner
  9. Gary B. Huang
  10. Geoffrey E. Hinton

Who trusts Mahmoud Afifi overall

  1. Morgan Klaus Scheuerman
  2. Yong Li
  3. Kandrea Wade
  4. Jiabei Zeng
  5. Shiguang Shan
  6. Caitlin Lustig

Papers from Mahmoud Afifi's perspective

Ordered by how strongly the researchers Mahmoud Afifi 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. Going deeper with convolutions
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Histograms of oriented gradients for human detection

Their papers