Paolo Napoletano

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 176 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Napoletano trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Kaiming He
  9. Andrew Zisserman
  10. Vladimir Naumovich Vapnik

Who trusts Paolo Napoletano overall

  1. Hossein Talebi

Papers from Paolo Napoletano's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers