Abdelrahman Abdelhamed

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #5,309 of 21,575 by trust here, #10,677 by citations
• Media Technology — 14 citations into it; #661 of 3,621 by trust here, #1,242 by citations
• Computational Mechanics — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Abdelrahman Abdelhamed trusts overall

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

1. Alessandro Foi
2. Stefan Roth
3. Michael Elad
4. Kostadin Dabov
5. Michal Aharon
6. Lei Zhang
7. Yunjin Chen
8. Daniel Zoran
9. Geoffrey E. Hinton
10. Tobias Plötz

Who trusts Abdelrahman Abdelhamed overall

1. Syed Waqas Zamir
2. Liangyu Chen
3. Aditya Arora
4. Saeed Anwar
5. Ademola Enitan Ilesanmi
6. Salman Hameed Khan
7. Chong Mou
8. Qifeng Chen
9. Jaesung Rim
10. Ke Xu

Papers from Abdelrahman Abdelhamed's perspective

Ordered by how strongly the researchers Abdelrahman Abdelhamed 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• A High-Quality Denoising Dataset for Smartphone Cameras (2018) — 988 citations
• AFIF4: Deep Gender Classification based on AdaBoost-based Fusion of Isolated Facial Features and Foggy Faces (2017) — 110 citations