Hongwen Kang

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongwen Kang trusts overall

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

  1. Antonio Torralba
  2. James Hays
  3. Ce Liu
  4. Alexei A. Efros
  5. Rob Fergus
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. William T. Freeman
  9. David G. Lowe
  10. Kaiming He

Papers from Hongwen Kang's perspective

Ordered by how strongly the researchers Hongwen Kang 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers