Alireza Norouzi

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it

Whom Alireza Norouzi trusts overall

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

1. Yuri Boykov
2. Stephen James Redmond
3. Vaidy Mani
4. Carsten Rother
5. Yin Li
6. Jianping Fan
7. Individualized Treat
8. Geoffrey E. Hinton
9. Vladimir Kolmogorov
10. Arnau Oliver

Papers from Alireza Norouzi's perspective

Ordered by how strongly the researchers Alireza Norouzi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Dropout: a simple way to prevent neural networks from overfitting
9. Attention is All you Need (Neural Information Processing Systems)
10. Densely Connected Convolutional Networks

Their papers

• ReDMark: Framework for residual diffusion watermarking based on deep networks (2018) — 297 citations
• Medical Image Segmentation Methods, Algorithms, and Applications (2014) — 330 citations