Nonlinear discriminant analysis using kernel functions V Roth, V Steinhage Advances in neural information processing systems 12, 1999 | 391 | 1999 |
LeafNet: A computer vision system for automatic plant species identification P Barré, BC Stöver, KF Müller, V Steinhage Ecological Informatics 40, 50-56, 2017 | 315 | 2017 |
Identification of Africanized honey bees through wing morphometrics: two fast and efficient procedures TM Francoy, D Wittmann, M Drauschke, S Müller, V Steinhage, ... Apidologie 39 (5), 488-494, 2008 | 268 | 2008 |
Extracting buildings from aerial images using hierarchical aggregation in 2D and 3D A Fischer, TH Kolbe, F Lang, AB Cremers, W Förstner, L Plümer, ... Computer vision and image understanding 72 (2), 185-203, 1998 | 257 | 1998 |
Biodiversity informatics in action: identification and monitoring of bee species using ABIS T Arbuckle, S Schröder, V Steinhage, D Wittmann Proceedings of the 15th International Symposium Informatics for …, 2001 | 155 | 2001 |
Performance of histogram descriptors for the classification of 3D laser range data in urban environments J Behley, V Steinhage, AB Cremers 2012 IEEE international conference on robotics and automation, 4391-4398, 2012 | 148 | 2012 |
Laser-based segment classification using a mixture of bag-of-words J Behley, V Steinhage, AB Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 125 | 2013 |
Models for photogrammetric building reconstruction C Braun, TH Kolbe, F Lang, W Schickler, V Steinhage, AB Cremers, ... Computers & Graphics 19 (1), 109-118, 1995 | 119 | 1995 |
Efficient Radius Neighbor Search in Three-dimensional Point Clouds J Behley, V Steinhage, AB Cremers IEEE International Conference on Robotics and Automation (ICRA), 2015 | 103 | 2015 |
Towards a multisensor station for automated biodiversity monitoring JW Wägele, P Bodesheim, SJ Bourlat, J Denzler, M Diepenbroek, ... Basic and Applied Ecology 59, 105-138, 2022 | 100 | 2022 |
Identification of animals and recognition of their actions in wildlife videos using deep learning techniques F Schindler, V Steinhage Ecological Informatics 61, 101215, 2021 | 91 | 2021 |
Morphometric and genetic changes in a population of Apis mellifera after 34 years of Africanization TM Francoy, D Wittmann, V Steinhage, M Drauschke, S Müller, DR Cunha, ... Genet. Mol. Res 8 (2), 709-717, 2009 | 90 | 2009 |
Extreme Gradient Boosting for yield estimation compared with Deep Learning approaches F Huber, A Yushchenko, B Stratmann, V Steinhage Computers and Electronics in Agriculture 202, 107346, 2022 | 78 | 2022 |
Image-based species identification of wild bees using convolutional neural networks K Buschbacher, D Ahrens, M Espeland, V Steinhage Ecological Informatics 55, 101017, 2020 | 65 | 2020 |
High-precision phenotyping of grape bunch architecture using fast 3D sensor and automation F Rist, K Herzog, J Mack, R Richter, V Steinhage, R Töpfer Sensors 18 (3), 763, 2018 | 63 | 2018 |
Automated 3D reconstruction of grape cluster architecture from sensor data for efficient phenotyping F Schöler, V Steinhage Computers and Electronics in Agriculture 114, 163-177, 2015 | 61 | 2015 |
An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding J Grimm, K Herzog, F Rist, A Kicherer, R Toepfer, V Steinhage Biosystems Engineering 183, 170-183, 2019 | 56 | 2019 |
High-precision 3D detection and reconstruction of grapes from laser range data for efficient phenotyping based on supervised learning J Mack, C Lenz, J Teutrine, V Steinhage Computers and Electronics in Agriculture 135, 300-311, 2017 | 54 | 2017 |
The new key to bees: automated identification by image analysis of wings S Schroder, D Wittmann, W Drescher, V Roth, V Steinhage, AB Cremers Pollinating bees–the Conservation Link Between Agriculture and Nature …, 2002 | 52 | 2002 |
Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks R Rudolph, K Herzog, R Töpfer, V Steinhage Vitis 58 (3), 95-104, 2019 | 45 | 2019 |