Sarah Ibrahimi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Generative Models — 31 citations into it
• Artificial Intelligence — 6 citations into it

Whom Sarah Ibrahimi trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Davide Cozzolino
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. François Chollet
7. Kaiming He
8. Yoshua Bengio
9. Yann LeCun
10. Samuli Laine

Papers from Sarah Ibrahimi's perspective

Ordered by how strongly the researchers Sarah Ibrahimi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Conditional Image Generation and Manipulation for User-Specified Content (2020) — 36 citations
• Detecting CNN-Generated Facial Images in Real-World Scenarios (2020) — 95 citations