Matthias Rüther

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 110 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #10,652 of 21,575 by trust here, #12,419 by citations
• Media Technology — 12 citations into it; #1,630 of 3,621 by trust here, #2,389 by citations
• Computational Mechanics — 8 citations into it

Whom Matthias Rüther trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Radu Timofte
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Thomas Pock
7. Daniel Scharstein
8. Antonin Chambolle
9. Pablo Arbeláez
10. Yann LeCun

Who trusts Matthias Rüther overall

1. Kai Zhang

Papers from Matthias Rüther's perspective

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

Their papers

• Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation (2013) — 526 citations
• Conditioned Regression Models for Non-blind Single Image Super-Resolution (2015) — 103 citations