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Patrick Helber
Patrick Helber
Researcher NVIDIA AI Lab, German Research Center for AI & Director Vision Impulse
Verified email at dfki.de
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Cited by
Year
EuroSAT: A novel dataset and deep learning benchmark for land use and land cover classification
P Helber, B Bischke, A Dengel, D Borth
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
18662019
Multi-task learning for segmentation of building footprints with deep neural networks
B Bischke, P Helber, J Folz, D Borth, A Dengel
IEEE International Conference on Image Processing (ICIP) 2019, 1480-1484, 2019
3132019
Introducing EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification
P Helber, B Bischke, A Dengel, D Borth
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018 …, 2018
2342018
The Multimedia Satellite Task at MediaEval 2017.
B Bischke, P Helber, C Schulze, V Srinivasan, A Dengel, D Borth
MediaEval, 2017
1102017
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.
B Bischke, P Bhardwaj, A Gautam, P Helber, D Borth, A Dengel
MediaEval, 2017
852017
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
B Gram-Hansen, P Helber, I Varatharajan, F Azam, A Coca-Castro, ...
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
622019
TreeSatAI Benchmark Archive: A multi-sensor, multi-label dataset for tree species classification in remote sensing
S Ahlswede, C Schulz, C Gava, P Helber, B Bischke, M Förster, F Arias, ...
Earth System Science Data Discussions 2022, 1-22, 2022
422022
The multimedia satellite task at MediaEval 2019
B Bischke, P Helber, S Brugman, E Basar, Z Zhao, M Larson, K Pogorelov
Proc. of the MediaEval 2019 Workshop, 2019
342019
Overcoming missing and incomplete modalities with generative adversarial networks for building footprint segmentation
B Bischke, P Helber, F Koenig, D Borth, A Dengel
International Conference on Content-Based Multimedia Indexing (CBMI) 2018, 1-6, 2018
262018
Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss
B Bischke, P Helber, D Borth, A Dengel
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018 …, 2018
262018
The multimedia satellite task at mediaeval 2018: Emergency response for flooding events
B Benjamin, H Patrick, Z Zhengyu, B Damian
152018
Multi-task learning for segmentation of building footprints with deep neural networks. arXiv 2017
B Bischke, P Helber, J Folz, D Borth, A Dengel
arXiv preprint arXiv:1709.05932, 0
12
Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models
P Helber, B Bischke, P Habelitz, C Sanchez, D Pathak, M Miranda, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
102023
Generating Material Maps to Map Informal Settlements
P Helber, B Gram-Hansen, I Varatharajan, F Azam, A Coca-Castro, ...
Neural Information Processing Systems (NeurIPS) 2018 Machine Learning for …, 2018
102018
Towards a sentinel-2 based human settlement layer
P Helber, B Bischke, J Hees, A Dengel
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019 …, 2019
92019
The multimedia satellite task at mediaeval 2019: Estimation of flood severity
B Bischke, P Helber, S Brugman, E Basar, Z Zhao, M Larson, K Pogorelov
Proc. of the MediaEval 2019 Workshop (Oct. 27-29, 2019). Sophia Antipolis …, 2019
82019
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data
P Helber, B Gram-Hansen, I Varatharajan, F Azam, A Coca-Castro, ...
International Conference on Learning Representations (ICLR) 2019 AI for …, 2018
72018
EuroSAT: a novel dataset and deep learning benchmark for land use and land cover classification (2017)
P Helber, B Bischke, A Dengel, D Borth
arXiv preprint arXiv:1709.00029, 0
7
Influence of data cleaning techniques on sub-field yield predictions
C Sanchez, D Pathak, M Miranda, M Charfuelan, P Helber, M Nuske, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
62023
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level
D Pathak, M Miranda, F Mena, C Sanchez, P Helber, B Bischke, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
62023
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