| 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 …, 2019 | 2074 | 2019 |
| Multi-task learning for segmentation of building footprints with deep neural networks B Bischke, P Helber, J Folz, D Borth, A Dengel 2019 IEEE International Conference on Image Processing (ICIP), 1480-1484, 2019 | 319 | 2019 |
| Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification P Helber, B Bischke, A Dengel, D Borth IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 242 | 2018 |
| Multi3Net: segmenting flooded buildings via fusion of multiresolution, multisensor, and multitemporal satellite imagery TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopačková, ... Proceedings of the AAAI Conference on Artificial Intelligence 33, 702-709, 2019 | 131 | 2019 |
| The Multimedia Satellite Task at MediaEval 2017. B Bischke, P Helber, C Schulze, V Srinivasan, A Dengel, D Borth MediaEval, 2017 | 108 | 2017 |
| 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 | 85 | 2017 |
| Monitoring crowd condition in public spaces by tracking mobile consumer devices with wifi interface J Weppner, B Bischke, P Lukowicz Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 73 | 2016 |
| 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 | 51 | 2022 |
| Contextual enrichment of remote-sensed events with social media streams B Bischke, D Borth, C Schulze, A Dengel Proceedings of the 24th ACM international conference on Multimedia, 1077-1081, 2016 | 50 | 2016 |
| The Multimedia Satellite Task at MediaEval 2019. B Bischke, P Helber, S Brugman, E Basar, Z Zhao, MA Larson, ... MediaEval, 2019 | 41 | 2019 |
| Glass-physics: using google glass to support high school physics experiments P Lukowicz, A Poxrucker, J Weppner, B Bischke, J Kuhn, M Hirth Proceedings of the 2015 ACM International Symposium on Wearable Computers …, 2015 | 36 | 2015 |
| Segmentation of imbalanced classes in satellite imagery using adaptive uncertainty weighted class loss B Bischke, P Helber, D Borth, A Dengel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 28 | 2018 |
| Overcoming missing and incomplete modalities with generative adversarial networks for building footprint segmentation B Bischke, P Helber, F Koenig, D Borth, A Dengel 2018 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2018 | 27 | 2018 |
| The multimedia satellite task at mediaeval 2018: Emergency response for flooding events B Benjamin, H Patrick, Z Zhengyu, B Damian | 15 | 2018 |
| 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 | 11 | 2023 |
| Towards a sentinel-2 based human settlement layer P Helber, B Bischke, J Hees, A Dengel IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 10 | 2019 |
| 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 | 9 | 2023 |
| Grid-based outlier detection in large data sets for combine harvesters Y Gu, RK Ganesan, B Bischke, A Bernardi, A Maier, H Warkentin, ... 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 9 | 2017 |
| Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction F Mena, D Pathak, H Najjar, C Sanchez, P Helber, B Bischke, P Habelitz, ... arXiv preprint arXiv:2401.11844, 2024 | 7 | 2024 |
| 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 | 7 | 2023 |
Patrick HelberResearcher NVIDIA AI Lab, German Research Center for AI & Director Vision Impulse確認したメール アドレス: dfki.de
