Jianran Liu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianran Liu trusts overall

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

  1. Kaiming He
  2. David G. Lowe
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jia Deng
  7. Yann LeCun
  8. Jitendra Malik
  9. Diederik P. Kingma
  10. Yoshua Bengio

Papers from Jianran Liu's perspective

Ordered by how strongly the researchers Jianran 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. 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. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers