Shu Shi

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shu Shi trusts overall

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

  1. A. Bovik
  2. Hamid R. Sheikh
  3. Zhou Wang
  4. Individualized Treat

Papers from Shu Shi's perspective

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

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

Their papers