Francesco Renna

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 10 citations into it
• Computational Mechanics — 10 citations into it
• Biomedical Engineering — 5 citations into it

Whom Francesco Renna trusts overall

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

1. Diederik P. Kingma
2. Gitta Kutyniok
3. Karen Simonyan
4. E.J. Candes
5. Geoffrey E. Hinton
6. Stefan Roth
7. Alex Krizhevsky
8. Ewout van den Berg
9. Andrew Zisserman
10. Jimmy Ba

Papers from Francesco Renna's perspective

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

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

Their papers

• On instabilities of deep learning in image reconstruction and the potential costs of AI (2019) — 736 citations