Keyu Chen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keyu Chen trusts overall

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

  1. Justus Thies
  2. Diederik P. Kingma
  3. Joon Son Chung
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Kaiming He
  9. Michael Zollhöfer
  10. Yoshua Bengio

Papers from Keyu Chen's perspective

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

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

Their papers