Yuanxin Ye

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanxin Ye trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. John F. Canny
  4. Eli Shechtman
  5. Thomas Brox
  6. Josien P. W. Pluim
  7. Jitendra Malik
  8. Bill Triggs
  9. Ce Liu
  10. Luigi Di Stefano

Who trusts Yuanxin Ye overall

  1. Xingyu Jiang
  2. Jiayi Ma
  3. Lorenzo Bruzzone

Papers from Yuanxin Ye's perspective

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

Their papers