Yichen Zhou

Computer Vision and Pattern Recognition · with Yan · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 760 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yichen Zhou trusts overall

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

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

Who trusts Yichen Zhou overall

  1. Weihao Yu
  2. Li Yuan

Papers from Yichen Zhou's perspective

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

Their papers