Kai Wang

Computer Vision and Pattern Recognition · Information Sciences · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Wang trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Yann LeCun
  8. Jia Deng
  9. Yoshua Bengio
  10. Christian Szegedy

Papers from Kai Wang's perspective

Ordered by how strongly the researchers Kai Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers