Kai Wang

Computer Vision and Pattern Recognition · with Belongie · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 186 researchers and is trusted by 1,319 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. Pedro F. Felzenszwalb
  2. Navneet Dalal
  3. Jitendra Malik
  4. John F. Canny
  5. Serge J. Belongie
  6. Teofilo de Campos
  7. Paul A. Viola
  8. Xiangrong Chen
  9. Bill Triggs
  10. Greg Mori

Who trusts Kai Wang overall

  1. Cong Yao
  2. Xiang Bai
  3. Baoguang Shi
  4. Max Jaderberg
  5. Anand Mishra
  6. Andrea Vedaldi
  7. Pengyuan Lyu
  8. Andrew Zisserman
  9. Chen-Yu Lee
  10. Albert Gordo

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. 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  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