Feng Zheng

Computer Vision and Pattern Recognition · with Shao · 2011–2021

A researcher in the Science corpus: 2 papers; trusts 372 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Zheng trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Paul A. Viola
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Yann LeCun
  10. Helmut Grabner

Papers from Feng Zheng's perspective

Ordered by how strongly the researchers Feng Zheng 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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