Xin Yu

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 7 papers; trusts 938 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Yu trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Xin Yu overall

  1. Xi Yin
  2. Zhihao Wang
  3. Andreas Lugmayr
  4. Luan Tran
  5. Ryan Dahl
  6. Wei-Sheng Lai
  7. Huaibo Huang
  8. Xiaoming Liu
  9. Jie Gui
  10. Yu Chen

Papers from Xin Yu's perspective

Ordered by how strongly the researchers Xin 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. 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers