Shishuang Yu

Computer Vision and Pattern Recognition · 2022

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 Shishuang Yu trusts overall

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

  1. Jiayi Ma
  2. Hui Li
  3. Han Xu
  4. Xiaojun Wu
  5. Alexander Toet
  6. Linfeng Tang
  7. Hao Zhang
  8. Yichen Wei
  9. Matthew A. Brown
  10. Wangjiang Zhu

Papers from Shishuang Yu's perspective

Ordered by how strongly the researchers Shishuang Yu 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. Microsoft COCO: Common Objects in Context
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Densely Connected Convolutional Networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers