RR
Ribana Roscher
cs.CVcs.LGcs.AIdeep learningstat.MLcs.NEcs.ROremote sensingAggregate occlusionAgriculture
On Valency
published · living versionsW_vg2pnuzf·v1 · currentpublished
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
with Michael Halstead, Esra Guclu, Mohamed Farag, Enrico Pallotta +5
1 version
W_bu77s7mv·v1published
W_w9v45g22·v1published
W_35ndxnme·v1published
Preprints & journals
46 papers in the corpus · 2015–2026SG-AMP: Scene-Graph-Guided Active Perception and Semantics-Aware Motion Planning for Pepper Plants2609.01579v1 · Rohit Menon, Shiva Rudra Lolla, Niklas Mueller-Goldingen et al.2026 · 0 citationsarXivon Valency
ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation2608.01530v2 · Mohamed Farag, Genc Hoxha, Yahia Maleki et al.2026 · 0 citationsarXivon Valency
Microplastic incorporation into soil aggregates of arable land.42551369 · Groß, Max, Braun, Melanie, Leonhardt, Johannes et al.2026 · 0 citationsJournal of hazardous materials. 2026;515:143175
Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data2607.19975v1 · Enrico Pallotta, Mohamed Farag, Esra Guclu et al.2026 · 0 citationsarXivon Valency
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels2607.14934v1 · Michael Halstead, Esra Guclu, Mohamed Farag et al.2026 · 0 citationsarXivon Valency
An assessment of data-centric methods for label noise identification in remote sensing data sets2603.16835v1 · Felix Krober, Genc Hoxha, Ribana Roscher2026 · 0 citationsarXiv
A Computer Vision Dataset for Pollinator Detection under Real Field Conditions10.1101/2025.10.27.682286v1 · Chong, Y. L., Nachtweid, P., Bauer, J. et al.2025 · 0 citationsbioRxiv
LC-SLab -- An object-based deep learning framework for large-scale land cover classification from satellite imagery and sparse in-situ labels2509.15868v2 · Johannes Leonhardt, Juergen Gall, Ribana Roscher2025 · 0 citationsarXiv
BuzzSet v1.0: A Dataset for Pollinator Detection in Field Conditions2508.19762v4 · Ahmed Emam, Mohamed Elbassiouny, Julius Miller et al.2025 · 0 citationsarXiv
Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery2507.13034v1 · Ahmed Emam, Ribana Roscher2025 · 1 citationarXiv
Core-Set Selection for Data-efficient Land Cover Segmentation2505.01225v3 · Keiller Nogueira, Akram Zaytar, Wanli Ma et al.2025 · 0 citationsarXiv
Investigating the contribution of image time series observations to cauliflower harvest-readiness prediction.39359647 · Kierdorf, Jana, Stomberg, Timo Tjarden, Drees, Lukas et al.2024 · 4 citationsFrontiers in artificial intelligence. 2024;7:1416323
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing2407.08274v1 · Hiba Najjar, Miro Miranda, Marlon Nuske et al.2024 · 32 citationsarXiv
Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks.38879522 · Drees, Lukas, Demie, Dereje T, Paul, Madhuri R et al.2024 · 27 citationsPlant methods. 2024;20(1):93
Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry.38455471 · Bolmer, Eike, Abulaitijiang, Adili, Kusche, Jürgen et al.2024 · 3 citationsFrontiers in artificial intelligence. 2024;7:1298283
Better, Not Just More: Data-Centric Machine Learning for Earth Observation2312.05327v4 · Ribana Roscher, Marc Ru\sswurm, Caroline Gevaert et al.2023 · 26 citationsIEEE Geoscience and Remote Sensing Magazine, vol. 12, no. 4, pp. 335-355, Dec. 2024
Data-Centric Digital Agriculture: A Perspective2312.03437v1 · Ribana Roscher, Lukas Roth, Cyrill Stachniss et al.2023 · 5 citationsarXiv
Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery.38106982 · Stomberg, Timo T, Leonhardt, Johannes, Weber, Immanuel et al.2023 · 8 citationsFrontiers in artificial intelligence. 2023;6:1278118
Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery2311.08923v1 · Ahmed Emam, Timo T. Stomberg, Ribana Roscher2023 · 5 citationsarXiv
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness2311.08936v4 · Ahmed Emam, Mohamed Farag, Ribana Roscher2023 · 4 citationsIEEE Geoscience and Remote Sensing Letters, 2024
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower2305.15149v1 · Jana Kierdorf, Ribana Roscher2023 · 11 citationsarXiv
Location-aware Adaptive Normalization: A Deep Learning Approach For Wildfire Danger Forecasting2212.08208v2 · Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall2022 · 19 citationsin IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-18, 2023, Art no. 4703018
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild2212.02265v1 · Burak Ekim, Timo T. Stomberg, Ribana Roscher et al.2022 · 2 citationsarXiv
Exploring Self-Attention for Crop-type Classification Explainability2210.13167v2 · Ivica Obadic, Ribana Roscher, Dario Augusto Borges Oliveira et al.2022 · 6 citationsarXiv
Agricultural plant cataloging and establishment of a data framework from UAV-based crop images by computer vision.35715875 · Günder, Maurice, Ispizua Yamati, Facundo R, Kierdorf, Jana et al.2022 · 29 citationsGigaScience. 2022;11
Detection of Anomalous Grapevine Berries Using Variational Autoencoders.35720600 · Miranda, Miro, Zabawa, Laura, Kicherer, Anna et al.2022 · 18 citationsFrontiers in plant science. 2022;13:729097
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER2204.00294v1 · Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney et al.2022 · 40 citationsarXiv
Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks.35402903 · Kierdorf, Jana, Weber, Immanuel, Kicherer, Anna et al.2023 · 50 citationsFrontiers in artificial intelligence. 2022;5:830026
Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery2203.00379v3 · Timo T. Stomberg, Taylor Stone, Johannes Leonhardt et al.2022 · 5 citationsarXiv
Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks2109.07365v1 · Benedikt Mersch, Thomas Hollen, Kun Zhao et al.2021 · 39 citationsarXiv
A Survey of Uncertainty in Deep Neural Networks2107.03342v3 · Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali et al.2021 · 1,641 citationsarXiv
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks2105.07789v2 · Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf et al.2021 · 54 citationsComputers and Electronics in Agriculture 190 (2021) 106415
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection2104.03054v1 · Immanuel Weber, Jens Bongartz, Ribana Roscher2021 · 16 citationsISPRS Journal of Photogrammetry and Remote Sensing, Volume 175, May 2021, Pages 158-170
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks2004.14010v1 · Laura Zabawa, Anna Kicherer, Lasse Klingbeil et al.2020 · 123 citationsJournal of Photogrammetry and Remote Sensing, vol. 164, pp.73-83,2020
Explainable Machine Learning for Scientific Insights and Discoveries1905.08883v3 · Ribana Roscher, Bastian Bohn, Marco F. Duarte et al.2019 · 1,038 citationsIEEE Access, vol. 8, pp. 42200-42216, 2020
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks1905.00458v1 · Laura Zabawa, Anna Kicherer, Lasse Klingbeil et al.2019 · 51 citationsCVPR Workshop on Computer Vision Problems in Plant Phenotyping, 2019
Inferring Routing Preferences of Bicyclists from Sparse Sets of Trajectories1806.09158v1 · J. Oehrlein, A. Forster, D. Schunck et al.2018 · 2 citationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2018
Ocean Eddy Identification and Tracking using Neural Networks1803.07436v2 · Katharina Franz, Ribana Roscher, Andres Milioto et al.2018 · 94 citationsarXiv
Archetypal Analysis for Sparse Representation-based Hyperspectral Sub-pixel Quantification1802.02813v1 · Lukas Drees, Ribana Roscher, Susanne Wenzel2018 · 4 citationsPhotogrammetric Engineering \& Remote Sensing, 2018
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields1712.05647v1 · Ribana Roscher, Katja Herzog, Annemarie Kunkel et al.2017 · 91 citationsComputers and Electronics in Agriculture 100 (2014), 148--158on Valency
Deep Self-taught Learning for Remote Sensing Image Classification1710.07096v2 · Anika Bettge, Ribana Roscher, Susanne Wenzel2017 · 6 citationsProceedings of the 2017 conference on Big Data from Space
Sea Level Anomaly Prediction using Recurrent Neural Networks1710.07099v1 · Anne Braakmann-Folgmann, Ribana Roscher, Susanne Wenzel et al.2017 · 41 citationsProceedings of the 2017 conference on Big Data from Space
STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse Representation and Conditional Random Fields1709.07681v1 · Ribana Roscher, Bernd Uebbing, Jurgen Kusche2017 · 47 citationsRemote Sensing of Environment, Vol. 201, pages 148-164, 2017
Tropical Land Use Land Cover Mapping in Pará (Brazil) using Discriminative Markov Random Fields and Multi-temporal TerraSAR-X Data1709.07794v1 · Ron Hagensieker, Ribana Roscher, Johannes Rosentreter et al.2017 · 19 citationsInternational Journal of Applied Earth Observation and Geoinformation, Volume 63, December 2017, Pages 244-256
Incremental Import Vector Machines for Classifying Hyperspectral Data1708.05966v1 · Ribana Roscher, Bjorn Waske, Wolfgang Forstner2017 · 43 citationsIEEE Transactions on Geoscience and Remote Sensing, Vol.50, No.09, September 2012, 3463-3473
Statistical Inference, Learning and Models in Big Data1509.02900v2 · Beate Franke, Jean-Francois Plante, Ribana Roscher et al.2015 · 79 citationsInt Stat Rev 84 (2017) 371-389
Career total: 195 works. 46 are in this corpus.
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