Mehrnoosh Sameki

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Mehrnoosh Sameki trusts overall

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

1. Karen Simonyan
2. David G. Lowe
3. Andrew Zisserman
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Navneet Dalal
10. Yoshua Bengio

Papers from Mehrnoosh Sameki's perspective

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

Their papers

• Salient Object Subitizing (2015) — 119 citations
• Fairlearn: A toolkit for assessing and improving fairness in AI (2020) — 455 citations