H. Wang

Computer Vision and Pattern Recognition · with Liu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Wang trusts overall

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

  1. Dana H. Ballard
  2. Kaiming He
  3. Vijay Badrinarayanan
  4. Weiyue Wang
  5. Yuxiang Sun
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Liang-Chieh Chen
  9. Ross B. Girshick
  10. Dan Barnes

Who trusts H. Wang overall

  1. Hengli Wang
  2. Rui Fan

Papers from H. Wang's perspective

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

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

Their papers