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
- Computer Vision and Pattern Recognition — 47 citations into it
- Artificial Intelligence — 11 citations into it
- Aerospace Engineering — 6 citations into it
- Biomedical Engineering — 5 citations into it
Whom Riccardo Satta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas T. Gray
- Thorsten Joachims
- John F. Canny
- C. Burges
- Pedro F. Felzenszwalb
- Per-Erik Forssén
- Thomas Sikora
- Cordelia Schmid
- Elzbieta Pekalska
- David G. Lowe
Who trusts Riccardo Satta overall
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.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions