Masoud Yari

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masoud Yari trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Liang-Chieh Chen
  5. Christian Szegedy
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Yann LeCun

Papers from Masoud Yari's perspective

Ordered by how strongly the researchers Masoud Yari 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. Going deeper with convolutions
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers