Michael Ruhnke

Computer Vision and Pattern Recognition · 2009–2015

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Aerospace Engineering — 22 citations into it

Whom Michael Ruhnke trusts overall

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

1. Michael Milford
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. David G. Lowe
5. Christian Szegedy
6. Ilya Sutskever
7. Andrew Zisserman
8. Niko Sünderhauf
9. Yangqing Jia
10. Gordon Fraser Wyeth

Papers from Michael Ruhnke's perspective

Ordered by how strongly the researchers Michael Ruhnke trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Distinctive Image Features from Scale-Invariant Keypoints
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• On measuring the accuracy of SLAM algorithms (2009) — 358 citations
• Robust visual SLAM across seasons (2015) — 103 citations