Yanyun Qu

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 545 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yanyun Qu trusts overall

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

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

Who trusts Yanyun Qu overall

  1. Xiaodong Cun
  2. Boyun Li
  3. Zeyuan Chen
  4. Yuanjie Shao
  5. Hang Dong
  6. Haiyan Wu
  7. Chunle Guo
  8. Chi-Man Pun
  9. Chongyi Li
  10. Zewei He

Papers from Yanyun Qu's perspective

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

Their papers