Nour Eldeen M. Khalifa

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 267 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 66 citations into it
• Artificial Intelligence — 42 citations into it; #31,533 of 35,345 by trust here, #23,077 by citations
• Radiology, Nuclear Medicine and Imaging — 11 citations into it; #2,016 of 3,265 by trust here, #2,073 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 10 citations into it
• Generative Models — 6 citations into it
• Media Technology — 6 citations into it

Whom Nour Eldeen M. Khalifa trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Barret Zoph
6. Christian Szegedy
7. Mohamed Loey
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Nour Eldeen M. Khalifa overall

1. Mingle Xu
2. Sook Yoon
3. Mohamed Loey

Papers from Nour Eldeen M. Khalifa's perspective

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

Their papers

• A comprehensive survey of recent trends in deep learning for digital images augmentation (2021) — 381 citations
• A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic (2020) — 610 citations
• Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning (2020) — 459 citations
• Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection (2020) — 412 citations