Shuqin Xie

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 224 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Shuqin Xie trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Christian Szegedy
  6. Yann LeCun
  7. Yoshua Bengio
  8. Andrew Zisserman
  9. Karen Simonyan
  10. Jitendra Malik

Who trusts Shuqin Xie overall

  1. Jiefeng Li
  2. Ce Zheng
  3. Bo Wu
  4. Haoshu Fang
  5. Sven Kreiss
  6. Xiaohan Nie
  7. Hangjie Yuan
  8. Yuliang Xiu
  9. Liang Zheng
  10. Jiaxu Miao

Papers from Shuqin Xie's perspective

Ordered by how strongly the researchers Shuqin Xie 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. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers