Xin Yang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 413 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Yang trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Xin Yang overall

  1. Ozan Özdenizci
  2. Jie Xiao
  3. Xiaogang Xu
  4. Risheng Liu

Papers from Xin Yang's perspective

Ordered by how strongly the researchers Xin 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. 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers