Laura J. Tafe

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Laura J. Tafe trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. X. Zhang
4. Ross B. Girshick
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Jia Deng

Who trusts Laura J. Tafe overall

1. J. A. van der Laak

Papers from Laura J. Tafe's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Microsoft COCO: Common Objects in Context
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks (2019) — 309 citations