Xiaoshuang Shi

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoshuang Shi trusts overall

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

  1. Piotr Doll'ar
  2. Pablo Arbeláez
  3. C. Lawrence Zitnick
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Jitendra Malik
  7. Alex Krizhevsky
  8. Saining Xie
  9. Ross B. Girshick
  10. Yann LeCun

Papers from Xiaoshuang Shi's perspective

Ordered by how strongly the researchers Xiaoshuang Shi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers