Li Wang

Computer Vision and Pattern Recognition · with Cheng · 2011

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Li Wang trusts overall

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

  1. David A. McAllester
  2. David G. Lowe
  3. Matthijs C. Dorst
  4. Josef Sivic
  5. Andrew Zisserman
  6. Piotr Doll'ar
  7. Juan Carlos Niebles
  8. Ralph Gross
  9. Sunita Sarawagi
  10. Geoffrey E. Hinton

Who trusts Li Wang overall

  1. Hema Swetha Koppula
  2. Yu Kong

Papers from Li Wang's perspective

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

Their papers