Yuan Liu

Computer Vision and Pattern Recognition · with Huang · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 282 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Liu trusts overall

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

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

Who trusts Yuan Liu overall

  1. Meng Tian
  2. Yann Labb'e
  3. Guoguang Du
  4. Shreyas Hampali

Papers from Yuan Liu's perspective

Ordered by how strongly the researchers Yuan 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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