Mark Müller-Linow

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Mark Müller-Linow trusts overall

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

1. David G. Lowe
2. Zhengyou Zhang
3. Andrea Vedaldi
4. Daniel Scharstein
5. Myron Z. Brown
6. Richard Szeliski
7. Brian Fulkerson
8. Kaiming He
9. Darius Burschka
10. Hanno Scharr

Who trusts Mark Müller-Linow overall

1. Matheus Boni Vicari
2. Massimo Minervini
3. Helge Aasen
4. Hanno Scharr
5. Jan Pisek
6. Andreas Fischbach
7. Andreas Burkart

Papers from Mark Müller-Linow's perspective

Ordered by how strongly the researchers Mark Müller-Linow 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool (2015) — 100 citations