Han Wu

Computer Vision and Pattern Recognition · with Xu · 2021

A researcher in the Science corpus: 2 papers; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Wu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yann LeCun
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Karen Simonyan
  9. Tsung-Yi Lin
  10. Ilya Sutskever

Papers from Han Wu's perspective

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

Their papers