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Multi-Modal Super-Resolution with Deep Guided Filtering.

, , , , , and . Bildverarbeitung für die Medizin, page 110-115. Springer Vieweg, (2019)

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Abstract: RinQ Fingerprinting., , , , , , , , and . Bildverarbeitung für die Medizin, page 184. Springer, (2020)Towards Understanding Preservation of Periodic Object Motion in Computed Tomography., , , and . Bildverarbeitung für die Medizin, page 116-121. Springer, (2017)Learning to Decipher License Plates in Severely Degraded Images., , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 544-559. Springer, (2020)SR2: Super-Resolution With Structure-Aware Reconstruction., , , , and . ICIP, page 533-537. IEEE, (2020)Robust Enhancement and Recognition for Low-Quality Images.. University of Erlangen-Nuremberg, Germany, (2023)Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks., , , , , , , , and . GMDS, volume 267 of Studies in Health Technology and Informatics, page 126-133. IOS Press, (2019)Deep Learning Architectural Designs for Super-Resolution Of Noisy Images., , and . ICASSP, page 1635-1639. IEEE, (2021)Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition., , , and . CoRR, (2023)Sequence-Based Recognition of License Plates with Severe Out-of-Distribution Degradations., , , and . CAIP (2), volume 13053 of Lecture Notes in Computer Science, page 175-185. Springer, (2021)Multi-Modal Super-Resolution with Deep Guided Filtering., , , , , and . Bildverarbeitung für die Medizin, page 110-115. Springer Vieweg, (2019)