Wei Liu

Computer Vision and Pattern Recognition · with Kim · 2014

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Liu trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Wongun Choi
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. David G. Lowe
  7. Siyu Tang
  8. R. Caruana

Papers from Wei Liu's perspective

Ordered by how strongly the researchers Wei 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. Histograms of oriented gradients for human detection
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers