Sebastian Hilsenbeck

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Aerospace Engineering — 25 citations into it
• Model Architectures — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Sebastian Hilsenbeck trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Diederik P. Kingma
7. Karen Simonyan
8. David G. Lowe
9. Alex Graves
10. Andrew Zisserman

Papers from Sebastian Hilsenbeck's perspective

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

Their papers

• Image-Based Localization Using LSTMs for Structured Feature Correlation (2016) — 545 citations