Benjamin Bischke

41 papers A* 2B 2C 14Misc 1Journal 10Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. CoRR 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
2024	C	`conf`	An Operational Approach to Large-Scale Crop Yield Prediction with Spatio-Temporal Machine Learning Models. IGARSS Patrick Helber, Benjamin Bischke, Carolin Packbier, Peter Habelitz, Florian Seefeldt
2023	C	`conf`	Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. IGARSS 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
2023	C	`conf`	Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. IGARSS 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
2023	C	`conf`	Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. IGARSS 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
2023	J	`jnl`	Predicting Crop Yield With Machine Learning: An Extensive Analysis Of Input Modalities And Models On a Field and sub-field Level. CoRR 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
2023	C	`conf`	Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. IGARSS 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
2022	—	`—`	Machine Learning-Aided Disaster Response - Using Remotely Sensed Imagery and Social Multimedia. Benjamin Bischke
2022	J	`jnl`	RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product. CoRR 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
2022	C	`conf`	Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product. IGARSS 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
2021	C	`conf`	RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning. IGARSS Giovanni Marchisio, Patrick Helber, Benjamin Bischke, Timothy Davis, Çaglar Senaras, Daniele Zanaga, Ruben Van De Kerchove, Annett Wania
2021	J	`jnl`	RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning. CoRR Giovanni Marchisio, Patrick Helber, Benjamin Bischke, Timothy Davis, Çaglar Senaras, Daniele Zanaga, Ruben Van De Kerchove, Annett Wania
2020	B	`conf`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. ICPR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020	J	`jnl`	Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory. CoRR Fatemeh Azimi, Benjamin Bischke, Sebastian Palacio, Federico Raue, Jörn Hees, Andreas Dengel
2020	—	`ed.`	Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019. MediaEval Martha A. Larson, Steven Alexander Hicks, Mihai Gabriel Constantin, Benjamin Bischke, Alastair Porter, Peijian Zhao, Mathias Lux, Laura Cabrera Quiros, Jordan Calandre, Gareth Jones
2019	J	`jnl`	EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2019	—	`conf`	Flood Severity Estimation from Online News Images and Multi-Temporal Satellite Images Using Deep Neural Networks. MediaEval Benjamin Bischke, Simon Brugman, Patrick Helber
2019	C	`conf`	Location-Specific Embedding Learning for the Semantic Segmentation of Building Footprints on a Global Scale. IGARSS Benjamin Bischke, Patrick Helber, Jörn Hees, Andreas Dengel
2019	C	`conf`	Multi-Scale Machine Learning for the Classification of Building Property Values. IGARSS Patrick Helber, Benjamin Bischke, Qiushi Guo, Jörn Hees, Andreas Dengel
2019	B	`conf`	Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. ICIP Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
2019	A*	`conf`	Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery. AAAI Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski
2019	—	`conf`	The Multimedia Satellite Task at MediaEval 2019. MediaEval Benjamin Bischke, Patrick Helber, Simon Brugman, Erkan Basar, Zhengyu Zhao, Martha A. Larson, Konstantin Pogorelov
2019	C	`conf`	Towards a Sentinel-2 Based Human Settlement Layer. IGARSS Patrick Helber, Benjamin Bischke, Jörn Hees, Andreas Dengel
2018	—	`conf`	Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia. MediaEval Benjamin Bischke, Patrick Helber, Andreas Dengel
2018	C	`conf`	Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IGARSS Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2018	J	`jnl`	Multi CoRR Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopacková, Piotr Bilinski
2018	C	`conf`	Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CBMI Benjamin Bischke, Patrick Helber, Florian Koenig, Damian Borth, Andreas Dengel
2018	J	`jnl`	Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation. CoRR Benjamin Bischke, Patrick Helber, Florian König, Damian Borth, Andreas Dengel
2018	C	`conf`	Segmentation of Imbalanced Classes in Satellite Imagery using Adaptive Uncertainty Weighted Class Loss. IGARSS Benjamin Bischke, Patrick Helber, Damian Borth, Andreas Dengel
2018	—	`conf`	Sensing Room Occupancy Levels with Signal-to-Noise Ratio and Signal Phase and Multiple Antenna Configurations. IEEE SENSORS Jens Weppner, Benjamin Bischke, Attila Reiss, Robert Dürichen, Paul Lukowicz
2018	—	`conf`	The Multimedia Satellite Task at MediaEval 2018. MediaEval Benjamin Bischke, Patrick Helber, Zhengyu Zhao, Jens de Bruijn, Damian Borth
2018	—	`ed.`	Working Notes Proceedings of the MediaEval 2018 Workshop, Sophia Antipolis, France, 29-31 October 2018. MediaEval Martha A. Larson, Piyush Arora, Claire-Hélène Demarty, Michael Riegler, Benjamin Bischke, Emmanuel Dellandréa, Mathias Lux, Alastair Porter, Gareth J. F. Jones
2017	—	`conf`	Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks. MediaEval Benjamin Bischke, Prakriti Bhardwaj, Aman Gautam, Patrick Helber, Damian Borth, Andreas Dengel
2017	J	`jnl`	EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. CoRR Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth
2017	C	`conf`	Grid-based outlier detection in large data sets for combine harvesters. INDIN Ying Gu, Ram Kumar Ganesan, Benjamin Bischke, Ansgar Bernardi, Alexander Maier, Heinrich Warkentin, Thilo Steckel, Andreas Dengel
2017	J	`jnl`	Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. CoRR Benjamin Bischke, Patrick Helber, Joachim Folz, Damian Borth, Andreas Dengel
2017	—	`conf`	The Multimedia Satellite Task at MediaEval 2017. MediaEval Benjamin Bischke, Patrick Helber, Christian Schulze, Venkat Srinivasan, Andreas Dengel, Damian Borth
2017	—	`ed.`	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. MediaEval 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
2016	A*	`conf`	Contextual Enrichment of Remote-Sensed Events with Social Media Streams. ACM Multimedia Benjamin Bischke, Damian Borth, Christian Schulze, Andreas Dengel
2016	—	`conf`	Monitoring crowd condition in public spaces by tracking mobile consumer devices with wifi interface. UbiComp Adjunct Jens Weppner, Benjamin Bischke, Paul Lukowicz
2015	Misc	`conf`	Glass-physics: using google glass to support high school physics experiments. ISWC Paul Lukowicz, Andreas Poxrucker, Jens Weppner, Benjamin Bischke, Jochen Kuhn, Michael Hirth