Stefan Oehmcke

44 papers A 2B 8Misc 2Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices. CoRR Jan Stenkamp, Nina Herrmann, Benjamin Karic, Stefan Oehmcke, Fabian Gieseke
2025	J	`jnl`	Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds. CoRR Simon Buus Jensen, Stefan Oehmcke, Andreas Møgelmose, Meysam Madadi, Christian Igel, Sergio Escalera, Thomas B. Moeslund
2025	J	`jnl`	Where to Measure: Epistemic Uncertainty-Based Sensor Placement with ConvCNPs. CoRR Feyza Eksen, Stefan Oehmcke, Stefan Lüdtke
2024	J	`jnl`	MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning. CoRR Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
2024	—	`conf`	MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning. ECCV (64) Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge J. Belongie, Christian Igel, Nico Lang
2024	J	`jnl`	Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment. CoRR Venkanna Babu Guthula, Stefan Oehmcke, Remigio Chilaule, Hui Zhang, Nico Lang, Ankit Kariryaa, Johan Mottelson, Christian Igel
2023	J	`jnl`	BuildSeg: A General Framework for the Segmentation of Buildings. CoRR Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel
2023	J	`jnl`	Multi-scale pseudo labeling for unsupervised deep edge detection. Knowl. Based Syst. Changsheng Zhou, Chao Yuan, Hongxin Wang, Lei Li, Stefan Oehmcke, Junmin Liu, Jigen Peng
2023	—	`conf`	Predicting urban tree cover from incomplete point labels and limited background information. UrbanAI@SIGSPATIAL Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
2023	J	`jnl`	Predicting urban tree cover from incomplete point labels and limited background information. CoRR Hui Zhang, Ankit Kariryaa, Venkanna Babu Guthula, Christian Igel, Stefan Oehmcke
2023	J	`jnl`	Remember to Correct the Bias When Using Deep Learning for Regression! Künstliche Intell. Christian Igel, Stefan Oehmcke
2023	B	`conf`	Seasonal-Trend Time Series Decomposition on Graphics Processing Units. IEEE Big Data Dmitry Serykh, Stefan Oehmcke, Cosmin E. Oancea, Dainius Masiliunas, Jan Verbesselt, Yan Cheng, Stéphanie Horion, Fabian Gieseke, Nikolaj Hinnerskov
2022	J	`jnl`	Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods. Remote. Sens. Jaime C. Revenga, Katerina Trepekli, Stefan Oehmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian Gieseke, Thomas Friborg
2022	—	`conf`	Deep learning based 3D point cloud regression for estimating forest biomass. SIGSPATIAL/GIS Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
2022	A	`conf`	Input Selection for Bandwidth-Limited Neural Network Inference. SDM Stefan Oehmcke, Fabian Gieseke
2022	J	`jnl`	LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. CoRR Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
2022	J	`jnl`	Remember to correct the bias when using deep learning for regression! CoRR Christian Igel, Stefan Oehmcke
2021	A	`conf`	Attentional Feature Fusion. WACV Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2021	J	`jnl`	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. Bent Sortkær, Emil Smith, David Reimer, Stefan Oehmcke, Ida Gran Andersen
2021	J	`jnl`	Deep Learning Based 3D Point Cloud Regression for Estimating Forest Biomass. CoRR Stefan Oehmcke, Lei Li, Jaime C. Revenga, Thomas Nord-Larsen, Katerina Trepekli, Fabian Gieseke, Christian Igel
2021	—	`conf`	Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning. IEEE BigData Stefan Oehmcke, Thomas Nyegaard-Signori, Kenneth Grogan, Fabian Gieseke
2020	B	`conf`	Attention as Activation. ICPR Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard
2020	J	`jnl`	Attention as Activation. CoRR Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2020	J	`jnl`	Attentional Feature Fusion. CoRR Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2020	—	`conf`	Creating cloud-free satellite imagery from image time series with deep learning. BigSpatial@SIGSPATIAL Stefan Oehmcke, Tzu-Hsin Karen Chen, Alexander V. Prishchepov, Fabian Gieseke
2020	B	`conf`	Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. IJCNN Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer
2019	—	`conf`	Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. IEEE BigData Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke
2019	J	`jnl`	Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data. CoRR Stefan Oehmcke, Christoffer Thrysøe, Andreas Borgstad, Marcos Antonio Vaz Salles, Martin Brandt, Fabian Gieseke
2019	B	`conf`	Evolution of Stacked Autoencoders. CEC Tim Silhan, Stefan Oehmcke, Oliver Kramer
2019	J	`jnl`	Learning Selection Masks for Deep Neural Networks. CoRR Stefan Oehmcke, Fabian Gieseke
2019	—	`conf`	Magnitude and Uncertainty Pruning Criterion for Neural Networks. IEEE BigData Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
2019	J	`jnl`	Magnitude and Uncertainty Pruning Criterion for Neural Networks. CoRR Vinnie Ko, Stefan Oehmcke, Fabian Gieseke
2018	—	`—`	Deep learning of virtual marine sensors. Stefan Oehmcke
2018	—	`conf`	Direct Training of Dynamic Observation Noise with UMarineNet. ICANN (1) Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2018	J	`jnl`	Input quality aware convolutional LSTM networks for virtual marine sensors. Neurocomputing Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2018	Misc	`conf`	Knowledge Sharing for Population Based Neural Network Training. KI Stefan Oehmcke, Oliver Kramer
2017	B	`conf`	Manifold learning with iterative dimensionality photo-projection. IJCNN Daniel Lückehe, Stefan Oehmcke, Oliver Kramer
2017	—	`conf`	Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. EvoApplications (1) Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer
2017	B	`conf`	Recurrent neural networks and exponential PAA for virtual marine sensors. IJCNN Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2017	—	`conf`	Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. ICONIP (5) Wei Lee Woon, Stefan Oehmcke, Oliver Kramer
2016	B	`conf`	kNN ensembles with penalized DTW for multivariate time series imputation. IJCNN Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2015	B	`conf`	Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. EvoApplications Stefan Oehmcke, Justin Heinermann, Oliver Kramer
2015	Misc	`conf`	Event Detection in Marine Time Series Data. KI Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2013	—	`conf`	Storyteller: in-situ reflection on study experiences. Mobile HCI Benjamin Poppinga, Stefan Oehmcke, Wilko Heuten, Susanne Boll