Seung Woo Lee

Computer Vision and Pattern Recognition · with Alexander · 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 Seung Woo Lee trusts overall

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

  1. Thomas Berg

Papers from Seung Woo Lee's perspective

Ordered by how strongly the researchers Seung Woo Lee 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. Discovering localized attributes for fine-grained recognition
  6. Pose pooling kernels for sub-category 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