Shuaiwen Leon Song

Computer Vision and Pattern Recognition · 2010–2021

A researcher in the Science corpus: 4 papers; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuaiwen Leon Song trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Sergey Ioffe
  10. Diederik P. Kingma

Papers from Shuaiwen Leon Song's perspective

Ordered by how strongly the researchers Shuaiwen Leon Song 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers