Di Xie

Computer Vision and Pattern Recognition · with Xiao · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 173 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Di Xie trusts overall

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

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

Who trusts Di Xie overall

  1. Lorenzo Torresani

Papers from Di Xie's perspective

Ordered by how strongly the researchers Di Xie 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. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers