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2020 – today
- 2024
[c27]Patrick Helber, Benjamin Bischke, Carolin Packbier, Peter Habelitz, Florian Seefeldt:
An Operational Approach to Large-Scale Crop Yield Prediction with Spatio-Temporal Machine Learning Models. IGARSS 2024: 4299-4302- [i9]Francisco Alejandro Mena, Deepak Pathak, Hiba Najjar, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Miro Miranda, Jayanth Siddamsetty, Marlon Nuske, Marcela Charfuelan, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR abs/2401.11844 (2024) - 2023
- [c26]Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Deepak Pathak
, Miro Miranda, Hiba Najjar, Francisco Alejandro Mena, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS 2023: 2763-2766 - [c25]Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS 2023: 2767-2770 - [c24]Cristhian Sanchez, Deepak Pathak, Miro Miranda, Marcela Charfuelan, Patrick Helber, Marlon Nuske, Benjamin Bischke, Peter Habelitz, Nafisur Rahman, Francisco Alejandro Mena, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Andreas Dengel:
Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 2023: 4852-4855 - [c23]Hiba Najjar, Patrick Helber, Benjamin Bischke, Peter Habelitz, Cristhian Sanchez, Francisco Alejandro Mena, Miro Miranda, Deepak Pathak, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS 2023: 5014-5017 - [i8]Deepak Pathak, Miro Miranda, Francisco Alejandro Mena, Cristhian Sanchez, Patrick Helber, Benjamin Bischke, Peter Habelitz, Hiba Najjar, Jayanth Siddamsetty, Diego Arenas, Michaela Vollmer, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR abs/2308.08948 (2023) - 2022
- [b1]Benjamin Bischke:
Machine Learning-Aided Disaster Response - Using Remotely Sensed Imagery and Social Multimedia. Kaiserslautern University of Technology, Germany, Dr. Hut 2022, ISBN 978-3-8439-5008-4, pp. 1-214 - [c22]Priyash Bhugra, Benjamin Bischke, Christoph Werner, Robert Syrnicki, Carolin Packbier, Patrick Helber, Çaglar Senaras, Akhil Singh Rana, Tim Davis, Wanda De Keersmaecker, Daniele Zanaga, Annett Wania, Ruben Van De Kerchove, Giovanni Marchisio:
Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product. IGARSS 2022: 2247-2250 - [i7]Priyash Bhugra, Benjamin Bischke, Christoph Werner, Robert Syrnicki, Carolin Packbier, Patrick Helber, Çaglar Senaras, Akhil Singh Rana, Tim Davis, Wanda De Keersmaecker, Daniele Zanaga, Annett Wania, Ruben Van De Kerchove, Giovanni Marchisio:
RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product. CoRR abs/2210.14624 (2022) - 2021
- [c21]Giovanni Marchisio, Patrick Helber, Benjamin Bischke, Timothy Davis, Çaglar Senaras, Daniele Zanaga, Ruben Van De Kerchove, Annett Wania:
RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning. IGARSS 2021: 1161-1164 - [i6]Giovanni Marchisio, Patrick Helber, Benjamin Bischke, Timothy Davis, Çaglar Senaras, Daniele Zanaga, Ruben Van De Kerchove, Annett Wania:
RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning. CoRR abs/2110.01919 (2021) - 2020
- [c20]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR 2020: 5376-5383 - [e3]Martha A. Larson, Steven Alexander Hicks, Mihai Gabriel Constantin, Benjamin Bischke, Alastair Porter, Peijian Zhao, Mathias Lux, Laura Cabrera Quiros, Jordan Calandre, Gareth Jones:
Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. CEUR Workshop Proceedings 2670, CEUR-WS.org 2020 [contents] - [i5]Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel:
Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR abs/2004.12170 (2020)
2010 – 2019
- 2019
- [j1]Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(7): 2217-2226 (2019) - [c19]Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. AAAI 2019: 702-709 - [c18]Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP 2019: 1480-1484 - [c17]Benjamin Bischke, Patrick Helber, Jörn Hees, Andreas Dengel:
Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. IGARSS 2019: 3951-3954 - [c16]Patrick Helber, Benjamin Bischke, Qiushi Guo, Jörn Hees, Andreas Dengel:
Multi-Scale Machine Learning for the Classification of Building Property Values. IGARSS 2019: 4873-4876 - [c15]Patrick Helber, Benjamin Bischke, Jörn Hees, Andreas Dengel:
Towards a Sentinel-2 Based Human Settlement Layer. IGARSS 2019: 5936-5939 - [c14]Benjamin Bischke, Simon Brugman, Patrick Helber:
Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural Networks. MediaEval 2019 - [c13]Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov:
The Multimedia Satellite Task at MediaEval 2019. MediaEval 2019 - 2018
- [c12]Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel:
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CBMI 2018: 1-6 - [c11]Jens Weppner, Benjamin Bischke, Attila Reiss, Robert Dürichen, Paul Lukowicz:
Sensing Room Occupancy Levels with Signal-to-Noise Ratio and Signal Phase and Multiple Antenna Configurations. IEEE SENSORS 2018: 1-4 - [c10]Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IGARSS 2018: 204-207 - [c9]Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel:
Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. IGARSS 2018: 6191-6194 - [c8]Benjamin Bischke, Patrick Helber, Andreas Dengel:
Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia. MediaEval 2018 - [c7]Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth:
The Multimedia Satellite Task at MediaEval 2018. MediaEval 2018 - [e2]Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones:
Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. CEUR Workshop Proceedings 2283, CEUR-WS.org 2018 [contents] - [d2]Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. Version 1. Zenodo, 2018 [all versions]
- [d1]Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. Version 2. Zenodo, 2018 [all versions] - [i4]Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel:
Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CoRR abs/1808.03195 (2018) - [i3]Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski:
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. CoRR abs/1812.01756 (2018) - 2017
- [c6]Ying Gu, Ram Kumar Ganesan, Benjamin Bischke, Ansgar Bernardi, Alexander Maier, Heinrich Warkentin, Thilo Steckel, Andreas Dengel:
Grid-based outlier detection in large data sets for combine harvesters. INDIN 2017: 811-818 - [c5]Benjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel:
Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval 2017 - [c4]Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth:
The Multimedia Satellite Task at MediaEval 2017. MediaEval 2017 - [e1]Guillaume Gravier, Benjamin Bischke, Claire-Hélène Demarty, Maia Zaharieva, Michael Riegler, Emmanuel Dellandréa, Dmitry Bogdanov, Richard F. E. Sutcliffe, Gareth J. F. Jones, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017. CEUR Workshop Proceedings 1984, CEUR-WS.org 2017 [contents] - [i2]Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth:
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. CoRR abs/1709.00029 (2017) - [i1]Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel:
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR abs/1709.05932 (2017) - 2016
- [c3]Jens Weppner, Benjamin Bischke, Paul Lukowicz:
Monitoring crowd condition in public spaces by tracking mobile consumer devices with wifi interface. UbiComp Adjunct 2016: 1363-1371 - [c2]Benjamin Bischke, Damian Borth, Christian Schulze, Andreas Dengel:
Contextual Enrichment of Remote-Sensed Events with Social Media Streams. ACM Multimedia 2016: 1077-1081 - 2015
- [c1]Paul Lukowicz, Andreas Poxrucker, Jens Weppner, Benjamin Bischke, Jochen Kuhn, Michael Hirth:
Glass-physics: using google glass to support high school physics experiments. ISWC 2015: 151-154
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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