Hazem Rashed

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hazem Rashed trusts overall

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

  1. Mennatullah Siam
  2. Evan Shelhamer
  3. Kaiming He
  4. Yin Zhou
  5. Andreas Geiger
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Hyeonwoo Noh
  10. Vijay Badrinarayanan

Papers from Hazem Rashed's perspective

Ordered by how strongly the researchers Hazem Rashed 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: A large-scale hierarchical image database
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Et al
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers