Shu Wang

Computer Vision and Pattern Recognition · with Liu · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 340 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Shu Wang trusts overall

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

  1. Ross B. Girshick
  2. Robert T. Collins
  3. Shai Avidan
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Piotr Doll'ar
  8. Kaiming He
  9. Andrew Zisserman
  10. Dorin Comaniciu

Who trusts Shu Wang overall

  1. Ran Tao
  2. Zhengqin Li
  3. Bo Yang
  4. Cheng Li
  5. Ming-Hsuan Yang
  6. David Stutz
  7. Yi-Hsuan Tsai
  8. Efstratios Gavves
  9. Wenguan Wang
  10. Shaul Oron

Papers from Shu Wang's perspective

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

Their papers