Giuseppe Papari

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Media Technology — 10 citations into it
• Signal Processing — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Giuseppe Papari trusts overall

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

1. Martin J. Wainwright
2. John F. Canny
3. Tomáš Werner
4. Carlo Tomasi
5. Stanley J. Osher
6. Dorin Comaniciu
7. Song Wang
8. Tommi S. Jaakkola
9. Jonathan S. Yedidia
10. Dan Huttenlocher

Papers from Giuseppe Papari's perspective

Ordered by how strongly the researchers Giuseppe Papari 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Edge and line oriented contour detection: State of the art (2011) — 388 citations