Ibrahim Radwan

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 309 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it
• Artificial Intelligence — 91 citations into it
• Model Architectures — 41 citations into it
• Natural Language Processing — 16 citations into it
• Reinforcement Learning — 5 citations into it

Whom Ibrahim Radwan trusts overall

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

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

Papers from Ibrahim Radwan's perspective

Ordered by how strongly the researchers Ibrahim Radwan 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Visual Attention Methods in Deep Learning: An In-Depth Survey (2022) — 301 citations