Barbara A. Ambrose

Computer Vision and Pattern Recognition · 2011–2019

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 — 10 citations into it

Whom Barbara A. Ambrose trusts overall

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

1. Christian Szegedy

Papers from Barbara A. Ambrose's perspective

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

1. ImageNet Large Scale Visual Recognition Challenge
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Going deeper with convolutions
6. Aggregated Residual Transformations for Deep Neural Networks
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Herbarium Challenge 2019 Dataset (2019) — 89 citations
• The compact Selaginella genome identifies changes in gene content associated with the evolution of vascular plants (2011) — 799 citations