Yiming Wu

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yiming Wu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Barret Zoph
  7. Bichen Wu
  8. Jia Deng

Who trusts Yiming Wu overall

  1. Song Han
  2. Carole-Jean Wu
  3. Quoc V. Le

Papers from Yiming Wu's perspective

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

Their papers