Marco Fiorucci

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 Marco Fiorucci trusts overall

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

1. Radford M. Neal
2. Karen Simonyan
3. François Chollet
4. Christian Szegedy
5. Ross B. Girshick
6. Kaiming He
7. Andrew Zisserman
8. Jia Deng
9. Tsung-Yi Lin
10. Geoffrey E. Hinton

Papers from Marco Fiorucci's perspective

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

Their papers

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