Liyang Liu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 489 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liyang 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. Shaoqing Ren
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Tsung-Yi Lin
  10. Karen Simonyan

Who trusts Liyang Liu overall

  1. Yi-Lin Sung
  2. Mang Wang
  3. Junsu Kim
  4. Liu Yu-yang
  5. Hangjie Yuan

Papers from Liyang Liu's perspective

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

Their papers