Tobias Knopp
Computer Vision and Pattern Recognition · 2009–2018
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Artificial Intelligence — 12 citations into it
- Model Architectures — 5 citations into it
Whom Tobias Knopp trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tobias Knopp overall
Papers from Tobias Knopp's perspective
Ordered by how strongly the researchers Tobias Knopp trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Densely Connected Convolutional Networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- Single-sided device for magnetic particle imaging (2009) — 163 citations
- Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification (2018) — 438 citations
- Magnetic Particle Imaging: An Introduction to Imaging Principles and Scanner Instrumentation (2012) — 237 citations
- A new extension for k–ω turbulence models to account for wall roughness (2009) — 135 citations