Huan Liu

Computer Vision and Pattern Recognition · with Chaib · 2017

A researcher in the Science corpus: 1 paper; trusts 107 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Huan Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Karen Simonyan
  4. Gong Cheng
  5. Andrew Zisserman
  6. Fan Zhang
  7. Ilya Sutskever
  8. Anil M. Cheriyadat
  9. Ross B. Girshick
  10. Kaiming He

Who trusts Huan Liu overall

  1. Gong Cheng
  2. Wei Zhang
  3. Qi Wang

Papers from Huan Liu's perspective

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

Their papers