Xiao-Tong Yuan

Computer Vision and Pattern Recognition · with Yan · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 212 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao-Tong Yuan trusts overall

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

  1. Robert Tibshirani
  2. Yurii E. Nesterov
  3. E.J. Candes
  4. Jerome H. Friedman
  5. Li Fei-Fei
  6. Andrew Zisserman
  7. Paul A. Viola
  8. Matthieu Kowalski
  9. Maria-Elena Nilsback
  10. David L. Donoho

Who trusts Xiao-Tong Yuan overall

  1. Yu Zhang
  2. Tianzhu Zhang
  3. Qiang Yang
  4. Seyoung Kim
  5. Sherif Azary
  6. Xiaofeng Zhu
  7. Yi Chen
  8. Bernard Ghanem
  9. Zhibin Hong
  10. Meng Wang

Papers from Xiao-Tong Yuan's perspective

Ordered by how strongly the researchers Xiao-Tong Yuan 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers