Moein Heidari

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Moein Heidari trusts overall

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

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

Who trusts Moein Heidari overall

  1. Kaiwen Zhang
  2. Dong Liu

Papers from Moein Heidari's perspective

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

Their papers