Reza Azad

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 338 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Reza Azad 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. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Reza Azad overall

  1. Hasib Zunair
  2. A. Ben Hamza
  3. Ehsan Khodapanah Aghdam

Papers from Reza Azad's perspective

Ordered by how strongly the researchers Reza Azad 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. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers