Peipei Zhou

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Peipei Zhou trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Kaiming He

Who trusts Peipei Zhou overall

  1. Sparsh Mittal

Papers from Peipei Zhou's perspective

Ordered by how strongly the researchers Peipei Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Visualizing and Understanding Convolutional Networks
  7. Long Short-Term Memory
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers