Pattern recognition methodologies for pollen grain image classification: a survey P Viertel, M König Machine Vision and Applications 33 (1), 18, 2022 | 15 | 2022 |
Learning virtual borders through semantic scene understanding and augmented reality D Sprute, P Viertel, K Tönnies, M König 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 6 | 2019 |
Pollengan: Synthetic pollen grain image generation for data augmentation P Viertel, M König, J Rexilius 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
Deep Learning in palynology P Viertel, M König Gesellschaft für Informatik eV, 2021 | 1 | 2021 |
Verfahren und Robotersystem zur Eingabe eines Arbeitsbereichs M König, D Sprute, P Viertel DE Patent DE102019126903B3, 2020 | 1 | 2020 |
Determining room usage through a multi-sensor system and machine learning P Viertel, M Küper, J Wiegmann, M König CEUR Workshop Proceedings 2232, 2018 | 1 | 2018 |
Metric-Based Few-Shot Learning for Pollen Grain Image Classification. P Viertel, M König, J Rexilius ICPRAM, 418-425, 2023 | | 2023 |
Pollen detection from honey sediments via Region-Based Convolutional Neural Networks P Viertel, M König, J Rexilius Gesellschaft für Informatik eV, 2022 | | 2022 |