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Publication search results
found 51 matches
- 2024
- Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke:
Estimating Canopy Height at Scale. ICML 2024 - Christian Lülf
, Denis Mayr Lima Martins
, Marcos Antonio Vaz Salles
, Yongluan Zhou
, Fabian Gieseke
:
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. SIGIR 2024: 2719-2723 - Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke:
Estimating Canopy Height at Scale. CoRR abs/2406.01076 (2024) - Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. CoRR abs/2406.13322 (2024) - 2023
- Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles
, Yongluan Zhou
, Fabian Gieseke:
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. Proc. VLDB Endow. 16(11): 2845-2857 (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. IEEE Big Data 2023: 5914-5923 - Christian Lülf
, Denis Mayr Lima Martins
, Marcos Antonio Vaz Salles
, Yongluan Zhou
, Fabian Gieseke
:
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. SIGSPATIAL/GIS 2023: 58:1-58:4 - Lei Li, Tianfang Zhang, Stefan Oehmcke, Fabian Gieseke, Christian Igel:
BuildSeg: A General Framework for the Segmentation of Buildings. CoRR abs/2301.06190 (2023) - Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. CoRR abs/2306.02670 (2023) - Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles, Yongluan Zhou, Fabian Gieseke:
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. CoRR abs/2309.15617 (2023) - 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): 3912 (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: 38:1-38:4 - Stefan Oehmcke
, Fabian Gieseke:
Input Selection for Bandwidth-Limited Neural Network Inference. SDM 2022: 280-288 - Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng
:
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. CoRR abs/2212.09088 (2022) - 2021
- 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: 4915-4924 - Stefan Püst, Lena Gieseke, Angela Brennecke:
Interaction Taxonomy for Sequencer-Based Music Performances. NIME 2021 - Philip Munksgaard
, Svend Lund Breddam, Troels Henriksen
, Fabian Gieseke, Cosmin E. Oancea
:
Dataset Sensitive Autotuning of Multi-versioned Code Based on Monotonic Properties - Autotuning in Futhark. TFP 2021: 3-23 - Yimian Dai, Fabian Gieseke, Stefan Oehmcke
, Yiquan Wu, Kobus Barnard:
Attentional Feature Fusion. WACV 2021: 3559-3568 - 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. CoRR abs/2112.11335 (2021) - 2020
- Eliakim Hamunyela, Sabina Rosca, Andrei Mîrt
, Eric Engle, Martin Herold
, Fabian Gieseke
, Jan Verbesselt
:
Implementation of BFASTmonitor Algorithm on Google Earth Engine to Support Large-Area and Sub-Annual Change Monitoring Using Earth Observation Data. Remote. Sens. 12(18): 2953 (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: 3:1-3:10 - Fabian Gieseke, Sabina Rosca, Troels Henriksen, Jan Verbesselt
, Cosmin E. Oancea
:
Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values. ICDE 2020: 385-396 - Yimian Dai, Stefan Oehmcke
, Fabian Gieseke, Yiquan Wu, Kobus Barnard:
Attention as Activation. ICPR 2020: 9156-9163 - Nikita Moriakov, Ashwin Samudre, Michela Negro, Fabian Gieseke, Sydney Otten, Luc Hendriks:
Inferring astrophysical X-ray polarization with deep learning. CoRR abs/2005.08126 (2020) - Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attentional Feature Fusion. CoRR abs/2009.14082 (2020) - 2019
- Vinnie Ko, Stefan Oehmcke
, Fabian Gieseke:
Magnitude and Uncertainty Pruning Criterion for Neural Networks. IEEE BigData 2019: 2317-2326 - 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: 2403-2412 - Stefan Oehmcke, Fabian Gieseke:
Learning Selection Masks for Deep Neural Networks. CoRR abs/1906.04673 (2019) - Vinnie Ko, Stefan Oehmcke, Fabian Gieseke:
Magnitude and Uncertainty Pruning Criterion for Neural Networks. CoRR abs/1912.04845 (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. CoRR abs/1912.05026 (2019)
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