Kang Li

Computer Vision and Pattern Recognition · with Chen · 2006–2008

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Li trusts overall

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

  1. Yuri Boykov
  2. Radford M. Neal
  3. John F. Canny
  4. Vladimir Kolmogorov
  5. Stanley J. Osher
  6. Luc M. Vincent
  7. Steven C. Mitchell
  8. Tony F. Chan
  9. Alexandre Xavier Falcão
  10. Daniel Cremers

Who trusts Kang Li overall

  1. Mona Kathryn Garvin
  2. Yuri Boykov
  3. Michael David Abràmoff
  4. Juan Eugenio Iglesias
  5. Ryoma Bise
  6. Martin Maška
  7. Daniel H. Rapoport
  8. G. Funka-Lea
  9. Andrey Kan
  10. Cheng-Yi Liu

Papers from Kang Li's perspective

Ordered by how strongly the researchers Kang Li 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Fast approximate energy minimization via graph cuts
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers