Mohamad Dhaybi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 11 citations into it
• Model Architectures — 9 citations into it

Whom Mohamad Dhaybi trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Sepp Hochreiter
4. Oriol Vinyals
5. Karen Simonyan
6. Geoffrey E. Hinton
7. Yann LeCun
8. Alex Krizhevsky
9. J. Urgen Schmidhuber
10. Diederik P. Kingma

Papers from Mohamad Dhaybi's perspective

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

Their papers

• Resources and End-to-End Neural Network Models for Arabic Image Captioning (2020) — 41 citations