Tom Yeh

Computer Science Applications · with Miller · 2009–2010

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tom Yeh trusts overall

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

  1. David G. Lowe
  2. Josef Sivic
  3. D.A. Forsyth

Who trusts Tom Yeh overall

  1. Eugene Wu
  2. Fotis Psallidas

Papers from Tom Yeh's perspective

Ordered by how strongly the researchers Tom Yeh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Object recognition from local scale-invariant features
  2. Video Google: a text retrieval approach to object matching in videos
  3. ImageNet: A large-scale hierarchical image database
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Notes on the OpenSURF Library
  7. Going deeper with convolutions
  8. ImageNet classification with deep convolutional neural networks
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers