Tianjia Shao

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 73 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tianjia Shao trusts overall

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

  1. David G. Lowe
  2. Nathan Silberman
  3. A. Bronstein
  4. Rob Fergus
  5. Alexei A. Efros
  6. Geoffrey E. Hinton
  7. Leonidas J. Guibas
  8. Connelly Barnes
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Tianjia Shao overall

  1. Angela Dai
  2. Jingdong Wang
  3. Weicheng Kuo
  4. Bo Yang
  5. Scott Satkin
  6. Ziyun Cai
  7. Mathias Eitz
  8. Oliver Mattausch
  9. Xiaowu Chen
  10. Wentao Yuan

Papers from Tianjia Shao's perspective

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

Their papers