Fuchen Long

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fuchen Long trusts overall

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

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

Who trusts Fuchen Long overall

  1. Chen-Lin Zhang
  2. Jianxin Wu

Papers from Fuchen Long's perspective

Ordered by how strongly the researchers Fuchen Long 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