Stefan Oehmcke

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Venues

CoRR

IJCNN

IEEE BigData

University of Oldenburg, Germany (PHD)

Education History

University of Oldenburg, Germany

PHD

Publications

Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning. CoRR (2024)
Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment. CoRR (2024)
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
BuildSeg: A General Framework for the Segmentation of Buildings. CoRR (2023)
Christian Igel, Stefan Oehmcke
Remember to Correct the Bias When Using Deep Learning for Regression! Künstliche Intell. 37 (1) (2023)
Changsheng Zhou, Chao Yuan, Hongxin Wang, Lei Li, Stefan Oehmcke, Junmin Liu, Jigen Peng
Multi-scale pseudo labeling for unsupervised deep edge detection. Knowl. Based Syst. 280 (2023)
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
Predicting urban tree cover from incomplete point labels and limited background information. UrbanAI@SIGSPATIAL (2023)
Dmitry Serykh, Stefan Oehmcke, Cosmin E. Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng, Stéphanie Horion, Fabian Gieseke, Nikolaj Hinnerskov
Seasonal-Trend Time Series Decomposition on Graphics Processing Units. BigData (2023)
Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
Predicting urban tree cover from incomplete point labels and limited background information. CoRR (2023)
Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN. CoRR (2022)
Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. CoRR (2022)
Stefan Oehmcke, Fabian Gieseke
Input Selection for Bandwidth-Limited Neural Network Inference. SDM (2022)
Christian Igel, Stefan Oehmcke
Remember to correct the bias when using deep learning for regression! CoRR (2022)
Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
Deep learning based 3D point cloud regression for estimating forest biomass. SIGSPATIAL/GIS (2022)
Jaime C. Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian Gieseke, Thomas Friborg
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods. Remote. Sens. 14 (16) (2022)
Stefan Oehmcke, Thomas Nyegaard-Signori, Kenneth Grogan, Fabian Gieseke
Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning. IEEE BigData (2021)
Bent Sortkær, Emil Smith, David Reimer, Stefan Oehmcke, Ida Gran Andersen
Both sides of the story: comparing student-level data on reading performance from administrative registers to application generated data from a reading app. EPJ Data Sci. 10 (1) (2021)
Stefan Oehmcke, Lei Li, Jaime Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass. CoRR (2021)
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attentional Feature Fusion. WACV (2021)
Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attention as Activation. CoRR (2020)
Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. IJCNN (2020)
Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard
Attention as Activation. ICPR (2020)
Stefan Oehmcke, Tzu-Hsin Karen Chen, Alexander V. Prishchepov, Fabian Gieseke
Creating cloud-free satellite imagery from image time series with deep learning. BigSpatial@SIGSPATIAL (2020)
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attentional Feature Fusion. CoRR (2020)
Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. CoRR (2019)
Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. IEEE BigData (2019)
Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
Magnitude and Uncertainty Pruning Criterion for Neural Networks. IEEE BigData (2019)
Stefan Oehmcke, Fabian Gieseke
Learning Selection Masks for Deep Neural Networks. CoRR (2019)
Tim Silhan, Stefan Oehmcke, Oliver Kramer
Evolution of Stacked Autoencoders. CEC (2019)
Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
Magnitude and Uncertainty Pruning Criterion for Neural Networks. CoRR (2019)
Stefan Oehmcke, Oliver Kramer
Knowledge Sharing for Population Based Neural Network Training. KI (2018)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Direct Training of Dynamic Observation Noise with UMarineNet. ICANN (1) (2018)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Input quality aware convolutional LSTM networks for virtual marine sensors. Neurocomputing 275 (2018)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Recurrent neural networks and exponential PAA for virtual marine sensors. IJCNN (2017)
Daniel Lückehe, Stefan Oehmcke, Oliver Kramer
Manifold learning with iterative dimensionality photo-projection. IJCNN (2017)
Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer
Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. EvoApplications (1) (2017)
Wei Lee Woon, Stefan Oehmcke, Oliver Kramer
Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. ICONIP (5) (2017)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
kNN ensembles with penalized DTW for multivariate time series imputation. IJCNN (2016)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Event Detection in Marine Time Series Data. KI (2015)
Stefan Oehmcke, Justin Heinermann, Oliver Kramer
Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. EvoApplications (2015)
Benjamin Poppinga, Stefan Oehmcke, Wilko Heuten, Susanne Boll
Storyteller: in-situ reflection on study experiences. Mobile HCI (2013)

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Publication Activity (10 Years)

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Stefan Oehmcke