Peiye Zhuang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peiye Zhuang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Tero Karras
  5. Diederik P. Kingma
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Alexia Jolicoeur-Martineau

Who trusts Peiye Zhuang overall

  1. Ke Zhang

Papers from Peiye Zhuang's perspective

Ordered by how strongly the researchers Peiye Zhuang 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. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers