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Claas Grohnfeldt
Claas Grohnfeldt
Principal Research Engineer @ Huawei Technologies - Munich Research Center - AI4Sec
Verified email at huawei.com
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Cited by
Cited by
Year
Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature
N Yokoya, C Grohnfeldt, J Chanussot
IEEE Geoscience and Remote Sensing Magazine 5 (2), 29-56, 2017
5712017
A conditional generative adversarial network to fuse SAR and multispectral optical data for cloud removal from Sentinel-2 images
C Grohnfeldt, M Schmitt, XX Zhu
2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
1352018
Exploiting joint sparsity for pansharpening: The J-SparseFI algorithm
XX Zhu, C Grohnfeldt, R Bamler
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2664-2681, 2015
1172015
Jointly sparse fusion of hyperspectral and multispectral imagery
C Grohnfeldt, XX Zhu, R Bamler
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 4090 …, 2013
632013
Multi-sensor data fusion for multi-and hyperspectral resolution enhancement based on sparse representations
CH Grohnfeldt
Technische Universität München, 2017
112017
Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments at Scale
M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ...
arXiv preprint arXiv:2206.13230, 2022
92022
Towards a combined sparse representation and unmixing based hybrid hyperspectral resolution enhancement method
C Grohnfeldt, XX Zhu
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
62015
Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks—The spectral grouping concept
C Grohnfeldt, XX Zhu, R Bamler
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015
62015
Splitting the hyperspectral-multispectral image fusion problem autonomously into weighted pan-sharpening tasks—The spectral grouping concept
C Grohnfeldt, XX Zhu, R Bamler
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015
62015
The J-SparseFI-HM hyperspectral resolution enhancement method—Now fully automated
C Grohnfeldt, XX Zhu, R Bamler
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
62014
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio
arXiv preprint arXiv:2212.13202, 2022
52022
Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery-The J-SparseFI-HM Algorithm
C Grohnfeldt, XX Zhu
IEEE Trans. Geosci. Remote Sens., 2015
52015
Collaborative sparse reconstruction for pan-sharpening
XX Zhu, C Grohnfeldt, R Bamler
2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 868-871, 2013
52013
Dynamic dictionary learning strategies for sparse representation based hyperspectral image enhancement
C Grohnfeldt, TM Burns, XX Zhu
2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2015
32015
Collabrative sparse image fusion with application to pan-sharpening
XX Zhu, C Grohnfeldt, R Bamler
2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013
32013
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
22023
Performance Assessment of the State-of-the-art Hyperspectral Image Enhancement Methods
C Grohnfeldt, XX Zhu, R Bamler
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, 2014
12014
EFACTLS: Effective Active TLS Fingerprinting for Large-scale Server Deployment Characterization
M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ...
IEEE Transactions on Network and Service Management, 2024
2024
Continuous-Time Temporal Graph Learning on Provenance Graphs
J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1131-1140, 2023
2023
Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs
A Gravina, G Lovisotto, C Gallicchio, D Bacciu, C Grohnfeldt
Temporal Graph Learning Workshop@ NeurIPS 2023, 2023
2023
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