Matthias Innmann

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #19,326 of 21,575 by trust here, #11,721 by citations
• Aerospace Engineering — 26 citations into it; #5,563 of 6,421 by trust here, #2,580 by citations
• Computer Graphics and Computer-Aided Design — 17 citations into it
• Geology — 15 citations into it
• 3D Vision & Pose — 11 citations into it
• Computational Mechanics — 11 citations into it

Whom Matthias Innmann trusts overall

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

1. David G. Lowe
2. Shahram Izadi
3. Szymon Rusinkiewicz
4. Michael Zollhöfer
5. John C. Gower
6. Richard A. Newcombe
7. Marc Levoy
8. Matthias Nießner
9. Brian Curless
10. William E. Lorensen

Who trusts Matthias Innmann overall

1. Zhengqi Li
2. Tao Yu
3. Edgar Tretschk
4. Dushyant Mehta
5. Michael Zollhöfer
6. Zerong Zheng
7. Gerard Pons-Moll
8. Christian Theobalt
9. Thiemo Alldieck
10. Noah Snavely

Papers from Matthias Innmann's perspective

Ordered by how strongly the researchers Matthias Innmann 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. Distinctive Image Features from Scale-Invariant Keypoints
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Et al
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction (2016) — 349 citations
• Shading-based refinement on volumetric signed distance functions (2015) — 136 citations