Shengwei Zhao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 511 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Shengwei Zhao trusts overall

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

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

Who trusts Shengwei Zhao overall

  1. Jianping Gou
  2. Seunghyun Lee
  3. Baosheng Yu

Papers from Shengwei Zhao's perspective

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

Their papers