Yuan Yuan

Computer Vision and Pattern Recognition · with Zhang · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Yuan trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Individualized Treat
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Kaiming He
  7. Radu Timofte
  8. Alex Krizhevsky
  9. Chao Dong
  10. Jimmy Ba

Who trusts Yuan Yuan overall

  1. Andreas Lugmayr
  2. Saeed Anwar
  3. Zhihao Wang
  4. Liangbin Xie
  5. Jie Gui
  6. Honggang Chen
  7. Chunwei Tian
  8. Wenming Yang
  9. Zhen-Wen Han
  10. Xinyu Gong

Papers from Yuan Yuan's perspective

Ordered by how strongly the researchers Yuan Yuan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. GENERATIVE ADVERSARIAL NETS
  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