Taiqing Wang

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Taiqing Wang trusts overall

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

  1. Ivan Laptev
  2. Martin Hirzer
  3. Olivier Chapelle
  4. Alexander Kläser
  5. Cordelia Schmid
  6. Ju Han
  7. Thomas G. Dietterich
  8. Marcin Marszalek
  9. Rui Zhao
  10. Geoffrey E. Hinton

Who trusts Taiqing Wang overall

  1. Liang Zheng
  2. Chi Su
  3. Mang Ye
  4. Xiatian Zhu
  5. Shengyong Ding
  6. Yi Yang
  7. Fan Yang
  8. Qi Tian
  9. Shiliang Zhang
  10. Shaogang Gong

Papers from Taiqing Wang's perspective

Ordered by how strongly the researchers Taiqing 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers