Juliana Maiostre

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Juliana Maiostre trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  3. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Juliana Maiostre's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Visualizing and Understanding Convolutional Networks
  6. Improving neural networks by preventing co-adaptation of feature detectors
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers