Xiang Wu

Computer Vision and Pattern Recognition · with Chen · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiang Wu trusts overall

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

  1. Artem Babenko
  2. Kaiming He
  3. Diederik P. Kingma
  4. Mohammad Norouzi
  5. Herv'e J'egou
  6. David G. Lowe
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Victor S. Lempitsky
  10. Matthijs Douze

Who trusts Xiang Wu overall

  1. Liu Yang
  2. Ruiqi Guo
  3. XINYAN DAI

Papers from Xiang Wu's perspective

Ordered by how strongly the researchers Xiang Wu 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. Going deeper with convolutions
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers