Hailin Shi

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 597 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Hailin Shi trusts overall

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

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

Who trusts Hailin Shi overall

  1. Xuelin Qian
  2. Dangwei Li
  3. Mengyue Geng
  4. Tao A. Xiang
  5. Jifei Song
  6. Chi Su

Papers from Hailin Shi's perspective

Ordered by how strongly the researchers Hailin Shi 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers