Marco Aldinucci

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Aldinucci trusts overall

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

  1. Karen Simonyan

Papers from Marco Aldinucci's perspective

Ordered by how strongly the researchers Marco Aldinucci 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. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers