Yuanyuan Wang

Computer Vision and Pattern Recognition · with Dong · 2019

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanyuan Wang trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Ross B. Girshick
  4. Shaoqing Ren
  5. Tsung-Yi Lin
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. X. Zhang

Who trusts Yuanyuan Wang overall

  1. Shunjun Wei
  2. Xiangfeng Zeng
  3. Xiaoxiang Zhu
  4. Qizhe Qu

Papers from Yuanyuan Wang's perspective

Ordered by how strongly the researchers Yuanyuan Wang 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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