Ai Qun Liu

Computer Vision and Pattern Recognition · 2001–2022

A researcher in the Science corpus: 11 papers; trusts 417 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ai Qun Liu trusts overall

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

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

Who trusts Ai Qun Liu overall

  1. A. S. Sayyad

Papers from Ai Qun Liu's perspective

Ordered by how strongly the researchers Ai Qun 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers