Changan Chen

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 281 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changan Chen trusts overall

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

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

Who trusts Changan Chen overall

  1. Claudia P'erez-D'Arpino
  2. Zechun Liu
  3. Christoforos Mavrogiannis
  4. Mandela Patrick
  5. Frederick Tung

Papers from Changan Chen's perspective

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

Their papers