Aijun Yang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aijun Yang trusts overall

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

  1. D. Late

Papers from Aijun Yang's perspective

Ordered by how strongly the researchers Aijun Yang 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. Wide Residual Networks
  4. Representation Learning with Contrastive Predictive Coding
  5. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  6. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  7. FitNets: Hints for Thin Deep Nets
  8. ImageNet classification with deep convolutional neural networks
  9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  10. Learning deep representations by mutual information estimation and maximization

Their papers