Seyed Ali Amirshahi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Media Technology — 10 citations into it

Whom Seyed Ali Amirshahi trusts overall

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

1. Hamid R. Sheikh
2. Karen Simonyan
3. Alex Krizhevsky
4. Navneet Dalal
5. Andrea Vedaldi
6. A. Bovik
7. Damon M. Chandler
8. Andrew Zisserman
9. Geoffrey E. Hinton
10. Ilya Sutskever

Who trusts Seyed Ali Amirshahi overall

1. Ekta Prashnani
2. Richard Zhang
3. Hong Cai
4. Phillip Isola

Papers from Seyed Ali Amirshahi's perspective

Ordered by how strongly the researchers Seyed Ali Amirshahi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Image Quality Assessment by Comparing CNN Features between Images (2016) — 73 citations