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Paul Bodesheim
Paul Bodesheim
Computer Vision Group, Friedrich Schiller University Jena, Germany
Verified email at uni-jena.de
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Cited by
Cited by
Year
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
M Jung, C Schwalm, M Migliavacca, S Walther, G Camps-Valls, S Koirala, ...
Copernicus GmbH, 2020
3812020
When tree rings go global: Challenges and opportunities for retro-and prospective insight
F Babst, P Bodesheim, N Charney, AD Friend, MP Girardin, S Klesse, ...
Quaternary Science Reviews 197, 1-20, 2018
1602018
Kernel Null Space Methods for Novelty Detection
P Bodesheim, A Freytag, E Rodner, M Kemmler, J Denzler
CVPR 2013, 3374--3381, 2013
1532013
Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product
P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein
Earth System Science Data 10 (3), 1327-1365, 2018
1152018
Improved tree-ring archives will support earth-system science
F Babst, B Poulter, P Bodesheim, MD Mahecha, DC Frank
Nature Ecology & Evolution 1 (2), 0008, 2017
912017
Emerging technologies revolutionise insect ecology and monitoring
R Van Klink, T August, Y Bas, P Bodesheim, A Bonn, F Fossøy, TT Høye, ...
Trends in ecology & evolution 37 (10), 872-885, 2022
892022
Active learning and discovery of object categories in the presence of unnameable instances
C Kading, A Freytag, E Rodner, P Bodesheim, J Denzler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
702015
Earth system data cubes unravel global multivariate dynamics
MD Mahecha, F Gans, G Brandt, R Christiansen, SE Cornell, N Fomferra, ...
Earth System Dynamics 11 (1), 201-234, 2020
682020
Local Novelty Detection in Multi-class Recognition Problems
P Bodesheim, A Freytag, E Rodner, J Denzler
WACV 2015, 2015
682015
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
462022
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques
M Flach, F Gans, A Brenning, J Denzler, M Reichstein, E Rodner, ...
Earth System Dynamics 8 (3), 677-696, 2017
442017
Classification-specific parts for improving fine-grained visual categorization
D Korsch, P Bodesheim, J Denzler
Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019
422019
Labeling examples that matter: Relevance-based active learning with gaussian processes
A Freytag, E Rodner, P Bodesheim, J Denzler
Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013
352013
Large-scale gaussian process classification with flexible adaptive histogram kernels
E Rodner, A Freytag, P Bodesheim, J Denzler
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
312012
Diagnosing the dynamics of observed and simulated ecosystem gross primary productivity with time causal information theory quantifiers
S Sippel, H Lange, MD Mahecha, M Hauhs, P Bodesheim, T Kaminski, ...
PloS one 11 (10), e0164960, 2016
222016
Rapid uncertainty computation with gaussian processes and histogram intersection kernels
A Freytag, E Rodner, P Bodesheim, J Denzler
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
222013
Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data, 10, 1327–1365
P Bodesheim, M Jung, F Gans, MD Mahecha, M Reichstein
182018
End-to-end learning of fisher vector encodings for part features in fine-grained recognition
D Korsch, P Bodesheim, J Denzler
DAGM German Conference on Pattern Recognition, 142-158, 2021
142021
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—individual identification and …
P Bodesheim, J Blunk, M Körschens, CA Brust, C Käding, J Denzler
Mammalian Biology 102 (3), 875-897, 2022
132022
Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification
C Reimers, N Penzel, P Bodesheim, J Runge, J Denzler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
132021
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