Yuanfang Guo

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanfang Guo trusts overall

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

  1. Li Xu
  2. Anat Levin
  3. Kaiming He
  4. Rob Fergus
  5. Jin-shan Pan
  6. Yair Weiss
  7. Pablo Arbeláez
  8. Jiaya Jia

Papers from Yuanfang Guo's perspective

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

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

Their papers