Kang Wang

Computer Vision and Pattern Recognition · with Liu · 2015

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Wang trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Douglas T. Gray
  3. Ross B. Girshick
  4. Xiaogang Wang
  5. Geoffrey E. Hinton
  6. Weishi Zheng
  7. Kilian Q. Weinberger
  8. Alex Krizhevsky
  9. Kaiming He
  10. Yi Yang

Papers from Kang Wang's perspective

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

Their papers