He Wang

Computer Vision and Pattern Recognition · with Lu · 2015

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom He Wang trusts overall

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

  1. Michael Batty
  2. Radhakrishna Achanta

Who trusts He Wang overall

  1. Pingping Zhang
  2. Guanbin Li

Papers from He Wang's perspective

Ordered by how strongly the researchers He 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers