Mohamed Hassan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• 3D Vision & Pose — 11 citations into it
• Aerospace Engineering — 10 citations into it
• Computational Mechanics — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Mohamed Hassan trusts overall

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

1. P. Hanrahan
2. Georgios Pavlakos
3. Tomas Simon
4. Angjoo Kanazawa
5. Karen Simonyan
6. Geoffrey E. Hinton
7. Shih-En Wei
8. Alex Krizhevsky
9. Kaiming He
10. Andrew Zisserman

Who trusts Mohamed Hassan overall

1. Yana Hasson
2. Zhe Cao
3. Omid Taheri
4. Jason Y. Zhang
5. Korrawe Karunratanakul
6. Ce Zheng
7. Michael J. Black
8. Gul Varol
9. Ilija Radosavovic
10. Antoni Rosinol

Papers from Mohamed Hassan's perspective

Ordered by how strongly the researchers Mohamed Hassan 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Resolving 3D Human Pose Ambiguities With 3D Scene Constraints (2019) — 404 citations