Keyan Chen

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 4 papers; trusts 1,156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Keyan Chen trusts overall

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

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

Who trusts Keyan Chen overall

  1. Valerio Marsocci
  2. Hongruixuan Chen

Papers from Keyan Chen's perspective

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

Their papers