Salome Kazeminia

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #20,631 of 21,575 by trust here, #17,757 by citations
• Generative Models — 21 citations into it
• Artificial Intelligence — 16 citations into it

Whom Salome Kazeminia trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton
3. Individualized Treat
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Christian Szegedy
10. Phillip Isola

Who trusts Salome Kazeminia overall

1. Luís Pinto-Coelho
2. Gagandeep B. Daroach

Papers from Salome Kazeminia's perspective

Ordered by how strongly the researchers Salome Kazeminia 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. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• GANs for Medical Image Analysis (2018) — 505 citations