Weihai Chen

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weihai Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Karen Simonyan
  5. Yann LeCun
  6. Kaiming He
  7. Alex Krizhevsky
  8. Andrew Zisserman
  9. L. Eon Bottou
  10. Simon Osindero

Who trusts Weihai Chen overall

  1. Zhiyong Cui
  2. Roberto Minerva

Papers from Weihai Chen's perspective

Ordered by how strongly the researchers Weihai Chen 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers