Antonia Charchanti

Computer Vision and Pattern Recognition · 2018

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 Antonia Charchanti trusts

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

  1. David Stutz (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Antonia Charchanti's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Hypercolumns for object segmentation and fine-grained localization
  3. Neural Codes for Image Retrieval
  4. Aggregating Local Deep Features for Image Retrieval
  5. Cross-Dimensional Weighting for Aggregated Deep Convolutional Features (ECCV Workshops)
  6. Pap-smear Benchmark Data For Pattern Classification
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers