Qingsen Yan

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingsen Yan trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Xavier Glorot
  8. Jimmy Ba
  9. Yann LeCun
  10. Christian Szegedy

Who trusts Qingsen Yan overall

  1. Ben Fei
  2. Jinyuan Liu
  3. Jianyi Wang

Papers from Qingsen Yan's perspective

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

Their papers