Yu Chen

Computer Vision and Pattern Recognition · with Liu · 2017

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Chen trusts overall

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

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

Who trusts Yu Chen overall

  1. Zhihao Wang
  2. Adrian Bulat
  3. Shiming Ge
  4. Chitwan Saharia
  5. Hanyang Kong
  6. Jian Chen
  7. Jing Yang

Papers from Yu Chen's perspective

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

Their papers