Mohamed Atri

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Atri trusts overall

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

  1. Parnian Afshar
  2. Heiko Hoffmann
  3. Karen Simonyan

Papers from Mohamed Atri's perspective

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

Their papers