Jessie Barry

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jessie Barry trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Pietro Perona (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Serge J. Belongie (in Computer Vision and Pattern Recognition)

Who trusts Jessie Barry

  1. Serge J. Belongie (in Computer Vision and Pattern Recognition)

Papers from Jessie Barry's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Microsoft COCO: Common Objects in Context
  6. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  7. Caltech-256 Object Category Dataset
  8. One-shot learning of object categories
  9. The Caltech-UCSD Birds-200-2011 Dataset
  10. DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Their papers