Motaz Ahmad El-Saban

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #15,872 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 8 citations into it; #34,539 of 35,345 by trust here, #26,682 by citations

Whom Motaz Ahmad El-Saban trusts overall

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

1. Victoria Bloom
2. Chih-Jen Lin
3. Leo Breiman
4. Aixia Guo

Who trusts Motaz Ahmad El-Saban overall

1. Jun Liu

Papers from Motaz Ahmad El-Saban's perspective

Ordered by how strongly the researchers Motaz Ahmad El-Saban 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. Random Forests
5. ImageNet: A large-scale hierarchical image database
6. Support-Vector Networks
7. Real-time human pose recognition in parts from single depth images
8. LIBSVM: A library for support vector machines
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• AutoCaption: Automatic caption generation for personal photos (2014) — 32 citations
• Real-Time Multi-scale Action Detection from 3D Skeleton Data (2015) — 56 citations