Georg Arbeiter

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Aerospace Engineering — 20 citations into it
• Artificial Intelligence — 6 citations into it

Whom Georg Arbeiter trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yann LeCun
5. Eric Brachmann
6. David G. Lowe
7. Evan Shelhamer
8. Andreas Geiger
9. Ross B. Girshick
10. Diederik P. Kingma

Papers from Georg Arbeiter's perspective

Ordered by how strongly the researchers Georg Arbeiter 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning (2018) — 103 citations