Kan Chen

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 8 papers; trusts 860 researchers and is trusted by 230 researchers here, as inferred from the citation graph.

Subfields

Whom Kan Chen trusts overall

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

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

Who trusts Kan Chen overall

  1. Nazneen Fatema Rajani and Raymond J. Mooney
  2. Qi Wu
  3. Damien Teney
  4. Dong Huk Park
  5. Zhou Yu
  6. Mateusz Malinowski
  7. Liang-Chieh Chen
  8. Chunhua Shen
  9. Anton van den Hengel
  10. Bolei Zhou

Papers from Kan Chen's perspective

Ordered by how strongly the researchers Kan 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. Long Short-Term Memory
  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