Ahmed Abdelreheem

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 37 citations into it

Whom Ahmed Abdelreheem trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. Jimmy Ba
5. Yoshua Bengio
6. Alex Krizhevsky
7. Kaiming He
8. J. Urgen Schmidhuber
9. Yann LeCun
10. Ilya Sutskever

Who trusts Ahmed Abdelreheem overall

1. Sosuke Kobayashi

Papers from Ahmed Abdelreheem's perspective

Ordered by how strongly the researchers Ahmed Abdelreheem 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes (2020) — 487 citations