Seyedeh Fatemeh Mousavi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Seyedeh Fatemeh Mousavi trusts overall

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

1. Jianbo Shi
2. Kaspar Riesen
3. Mark Newman
4. Brian Kulis
5. Edward H. Adelson
6. Michelle Girvan
7. Jitendra Malik
8. Horst Bunke
9. Sugato Basu

Papers from Seyedeh Fatemeh Mousavi's perspective

Ordered by how strongly the researchers Seyedeh Fatemeh Mousavi 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. Normalized cuts and image segmentation
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Hierarchical graph embedding in vector space by graph pyramid (2017) — 47 citations