Franziska Schirrmacher
Franziska Schirrmacher, M. Sc.
Academic CV
- Since 08/2019:
Researcher at I1 - Since 12/2017:
Researcher at LME
- Since 10/2011:
Student at FAU
Projects
No projects found.
Publications
2023
Journal Articles
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
In: IEEE Transactions on Intelligent Transportation Systems (2023), p. 1-14
ISSN: 1524-9050
DOI: 10.1109/TITS.2023.3278533
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On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics
In: IEEE Transactions on Information Forensics and Security (2023)
ISSN: 1556-6013
DOI: 10.1109/TIFS.2023.3266168
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Lorch-OSO.pdf
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2022
Authored Books
Invasive Computing
FAU University Press, 2022
ISBN: 978-3-96147-571-1
DOI: 10.25593/978-3-96147-571-1
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2021
Journal Articles
Reliable Camera Model Identification Using Sparse Gaussian Processes
In: IEEE Signal Processing Letters (2021), p. 912-916
ISSN: 1070-9908
DOI: 10.1109/LSP.2021.3070206
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Lorch-GPC.pdf
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Conference Contributions
Sequence-based Recognition of License Plates with Severe Out-of-Distribution Degradations
The 19th International Conference on Computer Analysis of Images and Patterns (Virtual Conference, September 27, 2021 - October 1, 2021)
In: Springer, Cham (ed.): Computer Analysis of Images and Patterns 2021
DOI: 10.1007/978-3-030-89131-2_16
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Moussa-SRLP.pdf
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Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
DAGM German Conference on Pattern Recognition (virtual, September 28, 2021 - October 1, 2021)
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Deep Learning Architectural Designs for Super-Resolution of Noisy Images
In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
DOI: 10.1109/ICASSP39728.2021.9414733
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Learning to Decipher License Plates in Severely Degraded Images
MultiMedia FORensics in the WILD (, January 11, 2021 - January 11, 2021)
In: Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021 2021
DOI: 10.1007/978-3-030-68780-9_43
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Schirrmacher-LTD.pdf
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2020
Journal Articles
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
In: IEEE Transactions on Computational Imaging 6 (2020), p. 503--517
ISSN: 2333-9403
DOI: 10.1109/TCI.2019.2956888
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-AQS.pdf
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Conference Contributions
SR²: Super-Resolution With Structure-Aware Reconstruction
2020 IEEE International Conference on Image Processing (ICIP) (Online, October 25, 2020 - October 28, 2020)
DOI: 10.1109/ICIP40778.2020.9191253
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-SR2.pdf
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2019
Journal Articles
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing Supplementary Material
In: IEEE Transactions on Medical Imaging (2019)
ISSN: 0278-0062
DOI: 10.1109/TMI.2019.2955184
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Book Contributions
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks
In: Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf (ed.): German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine, IOS Press, 2019, p. 126-133 (Studies in Health Technology and Informatics, Vol.267)
DOI: 10.3233/SHTI190816
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Conference Contributions
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Medical Image Computing and Computer Assisted Intervention (Shenzhen, October 13, 2019 - October 17, 2019)
In: Proceedings of MICCAI 2019, Cham: 2019
DOI: 10.1007/978-3-030-32248-9_11
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Multi-Modal Super-Resolution with Deep Guided Filtering
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_25
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2018
Journal Articles
Temporal and Volumetric Denoising via Quantile Sparse Image Prior
In: Medical Image Analysis 48 (2018), p. 131-146
ISSN: 1361-8415
DOI: 10.1016/j.media.2018.06.002
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schirrmacher18-TAV.pdf
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Conference Contributions
Abstract: QuaSI - Quantile Sparse Image A Prior for Spatio-Temporal Denoising of Retinal OCT Data
Bildverarbeitung für die Medizin 2018 (Erlangen)
In: Informatik aktuell 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schirrmacher18-AQQ.pdf
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Miscellaneous
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
abs/1804.02152 (2018)
DOI: 10.1109/tci.2019.2956888
URL: http://arxiv.org/abs/1804.02152
BibTeX: Download
(Techreport)
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2017
Conference Contributions
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
Medical Image Computing and Computer-Assisted Intervention (Quebec City, QC, Canada, September 11, 2017 - September 13, 2017)
In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017, Proceedings, Part II 2017
DOI: 10.1007/978-3-319-66185-8_10
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schirrmacher17-QQS.pdf
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Towards Understanding Preservation of Periodic Object Motion in Computed Tomography
Bildverarbeitung für die Medizin 2017 (DKFZ, Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017, Springer Vieweg: 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schirrmacher17-TUP.pdf
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Lectures
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