Shangxuan Tian

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shangxuan Tian trusts overall

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

  1. Lukás Neumann
  2. Jiri Matas
  3. Anand Mishra
  4. Kai Wang
  5. Andrew Zisserman

Who trusts Shangxuan Tian overall

  1. Pengyuan Lyu

Papers from Shangxuan Tian's perspective

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

Their papers