Kayvon Fatahalian

Computer Vision and Pattern Recognition · 2004–2021

A researcher in the Science corpus: 7 papers; trusts 487 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kayvon Fatahalian trusts overall

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

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

Who trusts Kayvon Fatahalian overall

  1. Senthil Purushwalkam
  2. Miao Hu
  3. Antonino Furnari
  4. Jianren Wang
  5. Shane Ryoo
  6. Ivan S. Ufimtsev

Papers from Kayvon Fatahalian's perspective

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

Their papers