Petra Gomez-Krämer
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Petra Gomez-Krämer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Petra Gomez-Krämer's perspective
Ordered by how strongly the researchers Petra Gomez-Krämer trusts endorse each paper. Same corpus, a different order for every researcher.
- Shape Matching and Object Recognition Using Shape Contexts
- A feature-integration theory of attention.
- Mesh segmentation using feature point and core extraction (The Visual Computer)
- Optical music recognition: state-of-the-art and open issues (International Journal of Multimedia Information Retrieval)
- Twenty Years of Document Image Analysis in PAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A comprehensive survey of mostly textual document segmentation algorithms since 2008 (2017) — 107 citations