Katja Herzog

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Papers (5)

1. An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks cs.CV · 2018 · author #2
2. Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks cs.CV · 2018 · author #2
3. Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks cs.CV · 2018 · author #2
4. Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping cs.CV · 2018 · author #4
5. Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields cs.CV · 2017 · author #2

Mentions

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Frequent Coauthors

• Reinhard T\"opfer 5 shared papers
• Volker Steinhage 4 shared papers
• Anna Kicherer 2 shared papers
• Florian Rist 2 shared papers
• Annemarie Kunkel 1 shared papers
• Bernhard Japes 1 shared papers
• Jennifer Mack 1 shared papers
• Jonatan Grimm 1 shared papers
• Matthias B. Hullin 1 shared papers
• Pierre Barr\'e 1 shared papers
• Rebecca H\"ofle 1 shared papers
• Ribana Roscher 1 shared papers
• Robert Rudolph 1 shared papers
• Wolfgang F\"orstner 1 shared papers