Sara Elkerdawy

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 220 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #16,684 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 15 citations into it; #27,223 of 35,345 by trust here, #24,417 by citations
• Model Architectures — 8 citations into it
• Aerospace Engineering — 5 citations into it

Whom Sara Elkerdawy trusts overall

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

1. Karen Simonyan
2. Jamie Shotton
3. Geoffrey E. Hinton
4. Yann LeCun
5. Kaiming He
6. Alex Krizhevsky
7. Sergey Ioffe
8. Andrew Zisserman
9. Christian Szegedy
10. Yoshua Bengio

Who trusts Sara Elkerdawy overall

1. Sangyong Park

Papers from Sara Elkerdawy's perspective

Ordered by how strongly the researchers Sara Elkerdawy 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges (2017) — 181 citations