Tian-yun Zhao

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tian-yun Zhao trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Josef Sivic
  4. Krystian Mikolajczyk

Who trusts Tian-yun Zhao overall

  1. Gong Cheng
  2. Peicheng Zhou
  3. Lijun Zhao

Papers from Tian-yun Zhao's perspective

Ordered by how strongly the researchers Tian-yun Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Video Google: a text retrieval approach to object matching in videos
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers