Ruo-Ze Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruo-Ze Liu trusts overall

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

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

Papers from Ruo-Ze Liu's perspective

Ordered by how strongly the researchers Ruo-Ze 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers