Franziska Schirrmacher

Sonderforschungsbereich/Transregio 89 Invasives Rechnen Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition (2023) Schirrmacher F, Lorch B, Maier A, Riess C Journal article On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics (2023) Lorch B, Schirrmacher F, Maier A, Rieß C Journal article Invasive Computing (2022) Anantharajaiah N, Asfour T, Bader M, Bauer L, Becker J, Bischof S, Brand M, et al. Authored book Sequence-based Recognition of License Plates with Severe Out-of-Distribution Degradations (2021) Moussa D, Maier A, Schirrmacher F, Rieß C Conference contribution, Conference Contribution Deep Learning Architectural Designs for Super-Resolution of Noisy Images (2021) Villar-Corrales A, Schirrmacher F, Rieß C Conference contribution, Conference Contribution Reliable Camera Model Identification Using Sparse Gaussian Processes (2021) Lorch B, Schirrmacher F, Maier A, Rieß C Journal article, Original article Learning to Decipher License Plates in Severely Degraded Images (2021) Kaiser P, Schirrmacher F, Lorch B, Rieß C Conference contribution, Conference Contribution Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems (2020) Schirrmacher F, Riess C, Köhler T Journal article SR²: Super-Resolution With Structure-Aware Reconstruction (2020) Schirrmacher F, Lorch B, Stimpel B, Köhler T, Riess C Conference contribution, Conference Contribution RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2019) Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al. Conference contribution