Masoud Faraki

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 522 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Masoud Faraki trusts overall

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

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

Who trusts Masoud Faraki overall

  1. Christian Simon
  2. Jindong Wang
  3. Xiang Yu
  4. Yi-Hsuan Tsai

Papers from Masoud Faraki's perspective

Ordered by how strongly the researchers Masoud Faraki 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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