Hong Wang

Computer Vision and Pattern Recognition · with Ma · 2017

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Wang trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Kaiming He
  5. Max Jaderberg
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky

Who trusts Hong Wang overall

  1. Xue Yang

Papers from Hong Wang's perspective

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

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

Their papers