Marco Salvi

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Salvi trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. J. Urgen Schmidhuber
  5. Yann LeCun
  6. Paul J. Werbos
  7. Yoshua Bengio
  8. Kaiming He
  9. Ross B. Girshick
  10. Ilya Sutskever

Papers from Marco Salvi's perspective

Ordered by how strongly the researchers Marco Salvi 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers