Mina Rezaei

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Mina Rezaei trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Karen Simonyan
5. Shaoqing Ren
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Ilya Sutskever
9. Yann LeCun
10. X. Zhang

Who trusts Mina Rezaei overall

1. Mingxia Liu
2. Meghavi Rana
3. Chintan Parmar
4. Zongwei Zhou
5. Ahmed Hosny
6. Faisal Mahmood
7. S. Suganyadevi
8. Adnan Qayyum
9. Manhua Liu
10. Quoc-Viet Pham

Papers from Mina Rezaei's perspective

Ordered by how strongly the researchers Mina Rezaei 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• Deep Learning for Medical Image Analysis (2017) — 2,676 citations