Xin He

Computer Vision and Pattern Recognition · with Yao · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 933 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Xin He trusts overall

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

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

Who trusts Xin He overall

  1. Guangrui Zhao
  2. Yuhui Zheng
  3. Minghui Liao

Papers from Xin He's perspective

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

Their papers