Liqin Cao

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liqin Cao trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Thomas Hofmann
  5. Liangpei Zhang
  6. Bei Zhao
  7. David G. Lowe
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jia Deng

Papers from Liqin Cao's perspective

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

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

Their papers