Wei Di

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 7 papers; trusts 378 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Di trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. David G. Lowe
  4. Aude Oliva
  5. Antonio Torralba
  6. Andrew Zisserman
  7. Kaiming He
  8. Yoshua Bengio
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Wei Di overall

  1. Ziwei Liu
  2. Ruining He
  3. Julian McAuley
  4. Ping Luo

Papers from Wei Di's perspective

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

Their papers