Fatemeh Noroozi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Artificial Intelligence — 26 citations into it

Whom Fatemeh Noroozi trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Deva Ramanan
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Yann LeCun
8. Jitendra Malik
9. Yoshua Bengio
10. Camillo Jose Taylor

Papers from Fatemeh Noroozi's perspective

Ordered by how strongly the researchers Fatemeh Noroozi 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Survey on Emotional Body Gesture Recognition (2018) — 412 citations