Benjamin Bischke
Benjamin Bischke
Researcher NVIDIA AI Lab, German Research Center for Artificial Intelligence, Vision Impulse
Bestätigte E-Mail-Adresse bei dfki.de
Titel
Zitiert von
Zitiert von
Jahr
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
2782019
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
1602019
The Multimedia Satellite Task at MediaEval 2017.
B Bischke, P Helber, C Schulze, V Srinivasan, A Dengel, D Borth
MediaEval, 2017
882017
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
542017
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
512019
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
492018
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
482016
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
332016
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
312015
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
24*2019
The multimedia satellite task at mediaeval 2018: Emergency response for flooding events
B Benjamin, H Patrick, Z Zhengyu, B Damian
102018
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
92018
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
62018
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
52019
Large-Scale Social Multimedia Analysis
B Bischke, D Borth, A Dengel
Big Data Analytics for Large-Scale Multimedia Search, 157, 2019
42019
Global-Local Feature Fusion for Image Classification of Flood Affected Roads from Social Multimedia.
B Bischke, P Helber, A Dengel
MediaEval, 2018
42018
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
42017
Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia Antipolis, France, 27-30 October 2019
MA Larson, SA Hicks, MG Constantin, B Bischke, A Porter, P Zhao, M Lux, ...
Larson, MA; Hicks, SA; Constantin, MG (ed.), MediaEval 2019: Multimedia …, 2020
32020
Multi-task learning for segmentation of building footprints with deep neural networks
B Benjamin, H Patrick, F Joachim, D Andreas, B Damian
International Conference of Representation Learning (ICLR)-AI for Social …, 2019
32019
Rapid Computer Vision-Aided Disaster Response via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
TGJ Rudner, M Rußwurm, J Fil, R Pelich, B Bischke, V Kopacková
2*
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