Abduallah A. Mohamed

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Abduallah A. Mohamed trusts overall

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

  1. Thomas Kipf
  2. Max Welling
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Rianne van den Berg
  7. Amir Sadeghian
  8. Alex Krizhevsky
  9. Vineet Kosaraju
  10. X. Zhang

Who trusts Abduallah A. Mohamed overall

  1. Zikang Zhou
  2. Shao-Wei Liu
  3. Tianpei Gu
  4. Guangyin Jin
  5. Liushuai Shi
  6. Jianping Wang
  7. Subarna Tripathi

Papers from Abduallah A. Mohamed's perspective

Ordered by how strongly the researchers Abduallah A. Mohamed 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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