Manar D. Samad

Computer Vision and Pattern Recognition · 2019–2026

A researcher in the Science corpus: 2 papers; trusts 191 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 108 citations into it
• Artificial Intelligence — 93 citations into it
• Generative Models — 31 citations into it
• Model Architectures — 21 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Manar D. Samad trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Yann LeCun
5. Alex Krizhevsky
6. Alex Graves
7. Kaiming He
8. Ruslan Salakhutdinov
9. Ilya Sutskever
10. Karen Simonyan

Papers from Manar D. Samad's perspective

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

Their papers

• A Fair Benchmarking of Deep Relational Database Learning Models (2026)
• Survey on Deep Neural Networks in Speech and Vision Systems (2019) — 233 citations