Tianshi Gao

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Tianshi Gao trusts overall

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

  1. Antonio Torralba
  2. Paul A. Viola
  3. Dorin Comaniciu
  4. Bastian Leibe
  5. Ce Liu
  6. Jamie Shotton
  7. Geoffrey E. Hinton
  8. Kevin P. Murphy
  9. Stephen Gould
  10. Vittorio Ferrari

Who trusts Tianshi Gao overall

  1. Roozbeh Mottaghi
  2. Anurag Arnab
  3. Min Sun
  4. Byung-soo Kim
  5. Jian Yao
  6. João Carreira
  7. Sanja Fidler
  8. Songyang Zhang
  9. Sadeep Jayasumana
  10. Raquel Urtasun

Papers from Tianshi Gao's perspective

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

Their papers