Faez Ahmed

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 219 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Generative Models — 40 citations into it
• Artificial Intelligence — 23 citations into it
• Civil and Structural Engineering — 16 citations into it
• Computational Mechanics — 13 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Graph Learning — 9 citations into it

Whom Faez Ahmed trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ilya Sutskever
8. Richard S. Sutton
9. Ross B. Girshick
10. Karen Simonyan

Papers from Faez Ahmed's perspective

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

Their papers

• Deep Generative Models in Engineering Design: A Review (2021) — 337 citations
• Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems (2020) — 318 citations