Shengyuan Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyuan Li trusts overall

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

  1. Young-Jin Cha
  2. Kaiming He
  3. Alex Krizhevsky
  4. M. Rafiei
  5. Geoffrey E. Hinton
  6. Hojjat Adeli
  7. Sinno Jialin Pan
  8. Ya-dong Xue
  9. Juan Pablo Amezquita-Sanchez
  10. Yuqing Gao

Who trusts Shengyuan Li overall

  1. D. Dais
  2. Sandeep Sony
  3. M. Flah
  4. Kyle Dunphy
  5. İ. Bal
  6. Itzel Nunez

Papers from Shengyuan Li's perspective

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

Their papers