Sheng Zhang

Computer Vision and Pattern Recognition · with Lin · 2003–2017

A researcher in the Science corpus: 4 papers; trusts 137 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Zhang trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Ross B. Girshick
  4. Baoguang Shi
  5. Shaoqing Ren
  6. Andrew Zisserman
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Yuyan Shao
  10. Sepp Hochreiter

Who trusts Sheng Zhang overall

  1. E. Weil
  2. A. Horrocks
  3. P. Kiliaris
  4. S. Levchik

Papers from Sheng Zhang's perspective

Ordered by how strongly the researchers Sheng Zhang 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. Long Short-Term Memory
  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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers