Michael Strecke

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #14,999 of 21,575 by trust here, #21,103 by citations
• Aerospace Engineering — 11 citations into it; #3,922 of 6,421 by trust here, #6,198 by citations
• Geology — 8 citations into it; #470 of 687 by trust here, #672 by citations

Whom Michael Strecke trusts overall

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

1. Martin Rünz
2. Thomas Whelan
3. Jürgen Sturm
4. Brian Curless
5. Kaiming He
6. Lourdes de Agapito
7. Christian Kerl
8. Richard A. Newcombe
9. John McCormac
10. Andrew J. Davison

Who trusts Michael Strecke overall

1. Yu-Shiang Wong
2. Changjian Li
3. Matthias Nießner

Papers from Michael Strecke's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Microsoft COCO: Common Objects in Context
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association (2019) — 89 citations