Jing Wang

Computer Vision and Pattern Recognition · with Gan · 2013

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Wang trusts overall

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

  1. Brian Kulis
  2. David G. Lowe
  3. Herv'e J'egou
  4. Antonio Torralba
  5. Rob Fergus
  6. Sunil Arya
  7. Li Fei-Fei
  8. Geoffrey E. Hinton
  9. Svetlana Lazebnik
  10. Hanan Samet

Who trusts Jing Wang overall

  1. Ting Zhang

Papers from Jing Wang's perspective

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

Their papers