Erich Kobler

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Radiology, Nuclear Medicine and Imaging — 20 citations into it
• Computational Mechanics — 10 citations into it

Whom Erich Kobler trusts overall

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

1. Zhou Wang
2. Gitta Kutyniok
3. Claude E. Shannon
4. Michael Lustig
5. Martin Uecker

Who trusts Erich Kobler overall

1. Florian Knoll

Papers from Erich Kobler's perspective

Ordered by how strongly the researchers Erich Kobler 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. Visualizing and Understanding Convolutional Networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
9. ImageNet Large Scale Visual Recognition Challenge
10. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Their papers

• Assessment of the generalization of learned image reconstruction and the potential for transfer learning (2019) — 246 citations
• Learning a Variational Network for Reconstruction of Accelerated MRI Data (2017) — 1,801 citations