Riccardo Satta

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 568 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Riccardo Satta trusts overall

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

  1. Douglas T. Gray
  2. Thorsten Joachims
  3. John F. Canny
  4. C. Burges
  5. Pedro F. Felzenszwalb
  6. Per-Erik Forssén
  7. Thomas Sikora
  8. Cordelia Schmid
  9. Elzbieta Pekalska
  10. David G. Lowe

Who trusts Riccardo Satta overall

  1. Ziyun Cai

Papers from Riccardo Satta's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers