Ding Liu

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 9 papers; trusts 922 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Ding Liu trusts overall

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

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

Who trusts Ding Liu overall

  1. Yawei Li
  2. Yulun Zhang
  3. Kai Zhang
  4. Haokui Zhang
  5. Jingyun Liang
  6. Saeed Anwar
  7. Radu Timofte
  8. Chao Dong
  9. Liang-Chieh Chen
  10. Chen Change Loy

Papers from Ding Liu's perspective

Ordered by how strongly the researchers Ding Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers