Mahmood Fathy

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 8 papers; trusts 499 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 132 citations into it; #7,819 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 88 citations into it; #12,852 of 35,345 by trust here, #10,319 by citations
• Model Architectures — 24 citations into it
• Media Technology — 13 citations into it
• Computer Networks and Communications — 11 citations into it
• Computational Mechanics — 10 citations into it
• Biophysics — 6 citations into it
• Epidemiology — 5 citations into it

Whom Mahmood Fathy trusts overall

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

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

Who trusts Mahmood Fathy overall

1. Mohammad Sabokrou
2. Radu Tudor Ionescu
3. Mariana-Iuliana Georgescu
4. Dilip Ravi Kiran
5. T. Liu
6. Fahad Shahbaz Khan
7. Mohammadreza Salehi
8. Joey Tianyi Zhou
9. Jihun Yi
10. Wenpeng Hu

Papers from Mahmood Fathy's perspective

Ordered by how strongly the researchers Mahmood Fathy 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
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

• STFCN: Spatio-Temporal FCN for Semantic Video Segmentation (2016) — 57 citations
• Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes (2017) — 375 citations
• Adversarially Learned One-Class Classifier for Novelty Detection (2018) — 758 citations
• Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes (2016) — 470 citations
• Analytical Model for Connectivity in Vehicular Ad Hoc Networks (2008) — 354 citations
• Driver behavior detection and classification using deep convolutional neural networks (2020) — 304 citations
• Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions (2019) — 428 citations
• A classified and comparative study of edge detection algorithms (2002) — 377 citations