Arianna Traviglia

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 10 citations into it

Whom Arianna Traviglia trusts overall

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

1. Radford M. Neal
2. Karen Simonyan
3. François Chollet

Papers from Arianna Traviglia's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Microsoft COCO: Common Objects in Context
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Rethinking the Inception Architecture for Computer Vision
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Machine Learning for Cultural Heritage: A Survey (2020) — 301 citations