Yong Liu

Computer Vision and Pattern Recognition · IEEE transactions on multimedia · 2007–2021

A researcher in the Science corpus: 21 papers; trusts 1,190 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Liu trusts overall

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

  1. Ross B. Girshick
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Alex Graves
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Ruslan Salakhutdinov
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Yong Liu overall

  1. Syed Waqas Zamir
  2. Ronghang Hu
  3. Aminu Da’u
  4. Yi Lu
  5. Shifeng Zhang
  6. Aditya Arora
  7. Malte Ludewig
  8. Dietmar Jannach
  9. L. Jiao
  10. Tianyu Yang

Papers from Yong Liu's perspective

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