Simon S. Woo

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Simon S. Woo trusts overall

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

  1. François Chollet
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Tero Karras
  5. Diederik P. Kingma
  6. Kaiming He
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Simon S. Woo overall

  1. Yabin Wang

Papers from Simon S. Woo's perspective

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

Their papers