Shuayb Zarar

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuayb Zarar trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Song Han
  5. Florian Eyben
  6. Ankit Shah
  7. Andrew Zisserman
  8. Yann LeCun
  9. Jia Deng
  10. Kaiming He

Who trusts Shuayb Zarar overall

  1. Soham Deshmukh
  2. Eduardo Fonseca

Papers from Shuayb Zarar's perspective

Ordered by how strongly the researchers Shuayb Zarar 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: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers