Weiyuan Shao

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Weiyuan Shao trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Kaiming He
  5. Max Jaderberg
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Shaoqing Ren
  9. Cong Yao
  10. Jia Deng

Who trusts Weiyuan Shao overall

  1. Xue Yang
  2. Junchi Yan
  3. Jian Ding
  4. Qi Ming
  5. Shangbang Long
  6. Siliang Ma
  7. Zhanchao Huang
  8. Jiaming Han
  9. Wenhai Wang
  10. M. Busta

Papers from Weiyuan Shao's perspective

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

Their papers