Jingwen Wang

Computer Vision and Pattern Recognition · with Liu · 2019

A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingwen Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Ilya Sutskever
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Karen Simonyan
  10. Yann LeCun

Papers from Jingwen Wang's perspective

Ordered by how strongly the researchers Jingwen 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. ImageNet Large Scale Visual Recognition Challenge
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Et al
  10. Going deeper with convolutions

Their papers