Damon Mannion

Computer Vision and Pattern Recognition · 2019

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

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Computational Mechanics — 6 citations into it

Whom Damon Mannion trusts

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

1. Michael M. Bronstein (in Computer Vision and Pattern Recognition)

Papers from Damon Mannion's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Graph Neural Network Model
5. Spectral Networks and Locally Connected Networks on Graphs
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
10. Geometric Deep Learning: Going beyond Euclidean data

Their papers

• Fake News Detection on Social Media using Geometric Deep Learning (2019) — 566 citations