Yahao Liu

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 468 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yahao Liu trusts overall

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

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

Who trusts Yahao Liu overall

  1. Tong Chu
  2. Jinhong Deng
  3. Jiahua Dong

Papers from Yahao Liu's perspective

Ordered by how strongly the researchers Yahao 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. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers