Kai Wang

Computer Vision and Pattern Recognition · with Herranz · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 239 researchers and is trusted by 5 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. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Rahaf Aljundi
  6. Yoshua Bengio
  7. Yann LeCun
  8. Jimmy Ba
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Kai Wang overall

  1. Da-Wei Zhou
  2. Arthur Douillard
  3. Liyuan Wang

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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers