Fang Guo

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Fang Guo trusts overall

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

  1. Laurent Itti
  2. Diederik P. Kingma
  3. Karen Simonyan
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Christof Koch
  9. Wenguan Wang
  10. Yoshua Bengio

Who trusts Fang Guo overall

  1. Wenguan Wang

Papers from Fang Guo's perspective

Ordered by how strongly the researchers Fang Guo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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