Amina Kammoun

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Generative Models — 52 citations into it

Whom Amina Kammoun trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Tero Karras
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Alec Radford
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Papers from Amina Kammoun's perspective

Ordered by how strongly the researchers Amina Kammoun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
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. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Generative Adversarial Networks for Face Generation: A Survey (2022) — 277 citations