Omar A. Elgendy

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Omar A. Elgendy trusts overall

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

  1. Mário A. T. Figueiredo
  2. He He
  3. Tomer Peleg
  4. Junfeng Yang
  5. Zachary T. Harmany

Who trusts Omar A. Elgendy overall

  1. Kai Zhang

Papers from Omar A. Elgendy's perspective

Ordered by how strongly the researchers Omar A. Elgendy 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning a Deep Convolutional Network for Image Super-Resolution
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Image super-resolution as sparse representation of raw image patches

Their papers