Ning Liu

Computer Vision and Pattern Recognition · with Long · 2018

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Liu trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Navneet Dalal
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Kaiming He
  8. Christian Szegedy
  9. Paul A. Viola
  10. Ke Chen

Who trusts Ning Liu overall

  1. Xiaoheng Jiang

Papers from Ning Liu's perspective

Ordered by how strongly the researchers Ning Liu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers