Na Liu

Computer Vision and Pattern Recognition · with Fang · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Na Liu trusts overall

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

  1. Matthew A. Turk
  2. Peter N. Belhumeur
  3. M. Bartlett
  4. Jian Yang

Papers from Na Liu's perspective

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

  1. Eigenfaces for Recognition
  2. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
  3. Face recognition by independent component analysis (IEEE Trans. Neural Networks)
  4. Face Description with Local Binary Patterns: Application to Face Recognition
  5. Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions
  6. ImageNet classification with deep convolutional neural networks
  7. Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Face recognition: component-based versus global approaches (Computer Vision and Image Understanding)

Their papers