Rosalia Leonardi

Computer Vision and Pattern Recognition · 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 Rosalia Leonardi trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Rosalia Leonardi's perspective

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

  1. Going deeper with convolutions
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  6. Spatial Transformer Networks
  7. DenseCap: Fully Convolutional Localization Networks for Dense Captioning
  8. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers