Yue He

Computer Vision and Pattern Recognition · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue He trusts overall

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

  1. Max Jaderberg
  2. Antti Tarvainen
  3. Karen Simonyan
  4. Kai Wang
  5. Jacob Devlin
  6. Andrew Zisserman
  7. Piotr Bojanowski
  8. Geoffrey E. Hinton
  9. Baoguang Shi
  10. Alex Krizhevsky

Who trusts Yue He overall

  1. Jianfeng Wang

Papers from Yue He's perspective

Ordered by how strongly the researchers Yue 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers