Shahrzad Faghih-Roohi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Shahrzad Faghih-Roohi trusts overall

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

1. Karen Simonyan
2. Navneet Dalal
3. Ronan Collobert
4. Xavier Gibert
5. Andrew Zisserman
6. Alex Krizhevsky
7. Jonathan Masci
8. Geoffrey E. Hinton
9. Bill Triggs
10. Koray Kavukcuoglu

Papers from Shahrzad Faghih-Roohi's perspective

Ordered by how strongly the researchers Shahrzad Faghih-Roohi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Histograms of oriented gradients for human detection
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Deep convolutional neural networks for detection of rail surface defects (2016) — 322 citations