Aiman H. El-Maleh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 249 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Artificial Intelligence — 50 citations into it
• Electrical and Electronic Engineering — 30 citations into it
• Model Architectures — 18 citations into it
• Hardware and Architecture — 17 citations into it
• Efficiency & Compression — 16 citations into it
• Optimization & Training — 10 citations into it
• Signal Processing — 9 citations into it

Whom Aiman H. El-Maleh trusts overall

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

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

Papers from Aiman H. El-Maleh's perspective

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

Their papers

• FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review (2019) — 445 citations