Hong Wei

Computer Vision and Pattern Recognition · with Chen · 2013–2014

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Wei trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Marie Liénou
  4. Ivan Laptev
  5. Ross B. Girshick
  6. Li Fei-Fei
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Kaiming He

Who trusts Hong Wei overall

  1. Y. Zhu
  2. Pichao Wang
  3. Roozbeh Jafari
  4. Jingwen Hu
  5. Wenbin Chen
  6. Gui-Song Xia
  7. Wanqing Li
  8. Ziyun Cai
  9. Jing Zhang

Papers from Hong Wei's perspective

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

Their papers