Deming Chen

Computer Vision and Pattern Recognition · with Li · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 410 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Deming Chen trusts overall

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

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

Who trusts Deming Chen overall

  1. Qi Wang

Papers from Deming Chen's perspective

Ordered by how strongly the researchers Deming Chen 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. 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