Sherif Shehata

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sherif Shehata trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Pedro F. Felzenszwalb
  4. Jeff Donahue
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Yangqing Jia

Papers from Sherif Shehata's perspective

Ordered by how strongly the researchers Sherif Shehata trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Object Detection with Discriminatively Trained Part Based Models

Their papers