Ashraf Ali Kassim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 116 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ashraf Ali Kassim trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Alexey Dosovitskiy
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Ashraf Ali Kassim overall

  1. Miaoyun Zhao
  2. Yulai Cong
  3. Kun Zhou

Papers from Ashraf Ali Kassim's perspective

Ordered by how strongly the researchers Ashraf Ali Kassim 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers