Ye Yu

Computer Vision and Pattern Recognition · 2021

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 Ye Yu trusts

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

  1. X. Zhang (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Ye Yu's perspective

Ordered by how strongly the researchers Ye Yu 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  4. ImageNet classification with deep convolutional neural networks
  5. Squeeze-and-Excitation Networks
  6. What is the best multi-stage architecture for object recognition?
  7. HyperNetworks
  8. mixup: Beyond Empirical Risk Minimization
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers