H. Wang

Computer Vision and Pattern Recognition · with Zhou · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 171 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. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Sumit Chopra

Who trusts H. Wang overall

  1. Weiyang Liu
  2. Mei Wang
  3. Jiankang Deng
  4. Andrew Zhai
  5. Ting-En Lin
  6. Kohei Ozaki
  7. Björn Barz
  8. Qiang Meng
  9. Yongming Rao
  10. Minchul Kim

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. 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers