Noha Radwan

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 169 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Noha Radwan trusts overall

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

  1. Diederik P. Kingma
  2. Zhou Wang
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Jimmy Ba
  6. Kaiming He
  7. Yoshua Bengio
  8. Yann LeCun
  9. Thrasyvoulos N. Pappas
  10. Phillip Isola

Who trusts Noha Radwan overall

  1. Jonathan T. Barron
  2. Ben Mildenhall
  3. Pratul P. Srinivasan
  4. Matthew Tancik
  5. Michael Niemeyer
  6. Keunhong Park
  7. Dor Verbin
  8. Andreas Geiger
  9. Zhipeng Cai
  10. Peter Hedman

Papers from Noha Radwan's perspective

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

Their papers