Nawid Sayed

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 272 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nawid Sayed trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Sergey Ioffe
  8. Ilya Sutskever
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Nawid Sayed overall

  1. Longlong Jing
  2. Yingli Tian
  3. Michael Tschannen
  4. Xiaohua Zhai
  5. Alexander Kolesnikov
  6. Alejandro Newell
  7. Josip Djolonga

Papers from Nawid Sayed's perspective

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

Their papers