Matteo Matteucci

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 7 papers; trusts 788 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Matteo Matteucci trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Yann LeCun
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Kaiming He
  9. Karen Simonyan
  10. Christian Szegedy

Who trusts Matteo Matteucci overall

  1. Fahad Lateef
  2. Alberto Garcia-Garcia

Papers from Matteo Matteucci's perspective

Ordered by how strongly the researchers Matteo Matteucci 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers