Mamoona Naveed Asghar

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 393 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it
• Artificial Intelligence — 50 citations into it
• Model Architectures — 18 citations into it
• Efficiency & Compression — 17 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Mamoona Naveed Asghar trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Christian Szegedy
7. Yoshua Bengio
8. Karen Simonyan
9. Ilya Sutskever
10. Shaoqing Ren

Papers from Mamoona Naveed Asghar's perspective

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

Their papers

• A Survey of Modern Deep Learning based Object Detection Models (2021) — 918 citations