Wenxuan Wang

Computer Vision and Pattern Recognition · with Fu · 2017

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenxuan Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Liang Zheng
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Wenxuan Wang's perspective

Ordered by how strongly the researchers Wenxuan 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. GENERATIVE ADVERSARIAL NETS
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers