Canjie Luo

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 318 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Canjie Luo trusts overall

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

  1. Kaiming He
  2. Yoshua Bengio
  3. Alex Graves
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Karen Simonyan
  7. Kai Wang
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Dzmitry Bahdanau

Papers from Canjie Luo's perspective

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

Their papers