Xintian Shi

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 4 papers; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xintian Shi trusts overall

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

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

Papers from Xintian Shi's perspective

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

Their papers