Michelle L. Alexander

Computer Vision and Pattern Recognition · 2014

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

Subfields

Whom Michelle L. Alexander trusts

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

  1. Peter N. Belhumeur (in Computer Vision and Pattern Recognition)

Papers from Michelle L. Alexander's perspective

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

  1. The Caltech-UCSD Birds-200-2011 Dataset
  2. Automated Flower Classification over a Large Number of Classes
  3. Automatic Attribute Discovery and Characterization from Noisy Web Data
  4. Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
  5. Pose pooling kernels for sub-category recognition
  6. Discovering localized attributes for fine-grained recognition
  7. Learning Models for Object Recognition from Natural Language Descriptions
  8. Fine-Grained Categorization by Alignments
  9. POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
  10. Dog Breed Classification Using Part Localization

Their papers