B. Zheng

Computer Vision and Pattern Recognition · with Zhou · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom B. Zheng trusts overall

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

  1. Jerome H. Friedman
  2. Pedro F. Felzenszwalb
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Antonio Torralba
  8. Kaiming He
  9. Evan Shelhamer
  10. Ross B. Girshick

Papers from B. Zheng's perspective

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

Their papers