Danlin Cai

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Danlin Cai trusts overall

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

  1. Alex Krizhevsky
  2. Andrew Zisserman
  3. Karen Simonyan
  4. Matthew D. Zeiler

Papers from Danlin Cai's perspective

Ordered by how strongly the researchers Danlin Cai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Visualizing and Understanding Convolutional Networks
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers