Xiaoyuan Guo

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 279 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyuan Guo trusts overall

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

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

Papers from Xiaoyuan Guo's perspective

Ordered by how strongly the researchers Xiaoyuan Guo 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers