Zahra Moayed

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 23 citations into it

Whom Zahra Moayed trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan

Papers from Zahra Moayed's perspective

Ordered by how strongly the researchers Zahra Moayed 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. Gradient-based learning applied to document recognition
4. Fully convolutional networks for semantic segmentation
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes (2016) — 470 citations