Amal A. Farag

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #21,544 of 21,575 by trust here, #7,499 by citations
• Artificial Intelligence — 22 citations into it

Whom Amal A. Farag trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Ilya Sutskever

Who trusts Amal A. Farag overall

1. Holger R. Roth

Papers from Amal A. Farag's perspective

Ordered by how strongly the researchers Amal A. Farag 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Fully convolutional networks for semantic segmentation
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation (2015) — 870 citations
• Spatial aggregation of holistically‐nested convolutional neural networks for automated pancreas localization and segmentation☆ (2017) — 300 citations