Mohamed ElBalkini

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed ElBalkini trusts overall

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

  1. Stephan R. Richter
  2. Evan Shelhamer
  3. Andreas Geiger
  4. Gabriel J. Brostow
  5. Vijay Badrinarayanan

Who trusts Mohamed ElBalkini overall

  1. Mike Roberts

Papers from Mohamed ElBalkini's perspective

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

Their papers