Mike Zheng Shou

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2021–2024

A researcher in the Science corpus: 15 papers; trusts 930 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mike Zheng Shou trusts overall

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

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

Who trusts Mike Zheng Shou overall

  1. Ying Shan

Papers from Mike Zheng Shou's perspective

Ordered by how strongly the researchers Mike Zheng Shou 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