Mohammed Bany Muhammad

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 330 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 16 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Mohammed Bany Muhammad trusts overall

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

1. Karen Simonyan
2. Ross B. Girshick
3. Alex Krizhevsky
4. Kaiming He
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Ilya Sutskever
8. Oriol Vinyals
9. Yoshua Bengio
10. Yann LeCun

Who trusts Mohammed Bany Muhammad overall

1. Yuxuan Li
2. Qibin Hou

Papers from Mohammed Bany Muhammad's perspective

Ordered by how strongly the researchers Mohammed Bany Muhammad 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Eigen-CAM: Class Activation Map using Principal Components (2020) — 554 citations