Xin He

Computer Vision and Pattern Recognition · with Chen

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 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. Ziwei Liu
  2. Alex Krizhevsky
  3. Xianyan Jia
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Ping Luo
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Andrew Zisserman

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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers