Xiaoyun Yang

Computer Vision and Pattern Recognition · with Zhang · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 282 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyun Yang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Martin Danelljan
  7. Shaoqing Ren
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Karen Simonyan

Papers from Xiaoyun Yang's perspective

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

Their papers