Yan Shao

Computer Vision and Pattern Recognition · with Cui · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Shao trusts overall

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

  1. Christian Szegedy
  2. Kaiming He
  3. Heng Fan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Bo Li
  7. Tsung-Yi Lin
  8. Zhipeng Zhang
  9. Ross B. Girshick
  10. Yoshua Bengio

Papers from Yan Shao's perspective

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

Their papers