Baoquan Chen

Computer Vision and Pattern Recognition · 2007–2020

A researcher in the Science corpus: 11 papers; trusts 719 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Baoquan Chen trusts overall

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

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

Who trusts Baoquan Chen overall

  1. Jan Hackenberg
  2. Heinrich Spiecker
  3. Eloi Grau

Papers from Baoquan Chen's perspective

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