Yang Guan

Computer Vision and Pattern Recognition · with Liu · 2020

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Guan trusts overall

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

  1. Alex Krizhevsky
  2. Mingsheng Long
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Kaiming He
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Christian Szegedy
  9. Yoshua Bengio
  10. Yann LeCun

Papers from Yang Guan's perspective

Ordered by how strongly the researchers Yang Guan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers