L. Ding

Computer Vision and Pattern Recognition · Advanced Engineering Informatics · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Ding trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. J. Urgen Schmidhuber
  5. Kaiming He
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. David G. Lowe
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts L. Ding overall

  1. Weili Fang
  2. Yue Pan

Papers from L. Ding's perspective

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

Their papers