Maryam Rahnemoonfar

Computer Vision and Pattern Recognition · with Sheppard · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 12 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Maryam Rahnemoonfar trusts overall

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

1. Christian Szegedy
2. Sergey Ioffe
3. Alex Krizhevsky
4. Kaiming He
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Xavier Glorot
8. Ilya Sutskever
9. Jia Deng
10. Suchet Bargoti

Who trusts Maryam Rahnemoonfar overall

1. Muhammad Hammad Saleem
2. Guoxu Liu
3. Johan Potgieter
4. Joseph Christian Nouaze
5. Samuel C. Hassler
6. Horea-Bogdan Muresan
7. Andreas Kamilaris
8. Khalid Mahmood Arif
9. Philippe Lyonel Touko Mbouembe

Papers from Maryam Rahnemoonfar's perspective

Ordered by how strongly the researchers Maryam Rahnemoonfar 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. 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. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Count: Fruit Counting Based on Deep Simulated Learning (2017) — 491 citations