Matthias Vestner

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #7,723 of 21,575 by trust here, #11,286 by citations
• Computational Mechanics — 31 citations into it; #2,742 of 10,001 by trust here, #3,463 by citations
• Computer Graphics and Computer-Aided Design — 10 citations into it; #960 of 1,584 by trust here, #1,271 by citations
• Geometry and Topology — 5 citations into it

Whom Matthias Vestner trusts overall

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

1. Facundo M'emoli
2. Yaron Lipman
3. A. Bronstein
4. Michael M. Bronstein
5. Vladimir G. Kim
6. Andriy Myronenko
7. Tobias Gurdan
8. M. Ovsjanikov
9. Lorenzo Torresani
10. Federica Bogo

Who trusts Matthias Vestner overall

1. Federico Monti
2. Nitika Verma
3. Or Litany
4. Emanuele Rodolà
5. Davide Boscaini
6. Michael M. Bronstein
7. Jonathan Masci
8. Oshri Halimi
9. Edmond Boyer
10. Jakob Verbeek

Papers from Matthias Vestner's perspective

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

Their papers

• Dense Non-rigid Shape Correspondence Using Random Forests (2014) — 185 citations
• Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space (2017) — 139 citations
• Bayesian Inference of Bijective Non-Rigid Shape Correspondence (2016) — 11 citations