Anne Driscoll

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 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 — 13 citations into it

Whom Anne Driscoll trusts overall

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

1. Kaiming He
2. X. Zhang

Papers from Anne Driscoll's perspective

Ordered by how strongly the researchers Anne Driscoll 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. Identity Mappings in Deep Residual Networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Using publicly available satellite imagery and deep learning to understand economic well-being in Africa (2020) — 460 citations
• Using satellite imagery to understand and promote sustainable development (2019) — 453 citations