564 citations · 1.3k across the 25 of their papers we have counts for
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Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
Andreas Spruck, Maximilane Gruber, Anatol Maier +4
An insufficient number of training samples is a common problem in neural network applications. While data augmentation methods require at least a minimum number of samples, we prop…
3D Rendering Framework for Data Augmentation in Optical Character Recognition
Andreas Spruck, Maximiliane Hawesch, Anatol Maier +3
In this paper, we propose a data augmentation framework for Optical Character Recognition (OCR). The proposed framework is able to synthesize new viewing angles and illumination sc…
Forensic License Plate Recognition with Compression-Informed Transformers
Denise Moussa, Anatol Maier, Andreas Spruck +2
Forensic license plate recognition (FLPR) remains an open challenge in legal contexts such as criminal investigations, where unreadable license plates (LPs) need to be deciphered f…
Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks
Denise Moussa, Germans Hirsch, Christian Riess
Freely available and easy-to-use audio editing tools make it straightforward to perform audio splicing. Convincing forgeries can be created by combining various speech samples from…
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images
Benjamin Hadwiger, Christian Riess
One common task in image forensics is to detect spliced images, where multiple source images are composed to one output image. Most of the currently best performing splicing detect…
Exploring the Open World Using Incremental Extreme Value Machines
Tobias Koch, Felix Liebezeit, Christian Riess +2
Dynamic environments require adaptive applications. One particular machine learning problem in dynamic environments is open world recognition. It characterizes a continuously chang…
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification
Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian +2
Employing deep neural networks for Hyperspectral remote sensing (HSRS) image classification is a challenging task. HSRS images have high dimensionality and a large number of channe…
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act
Benedikt Lorch, Nicole Scheler, Christian Riess
In many applications of forensic image analysis, state-of-the-art results are nowadays achieved with machine learning methods. However, concerns about their reliability and opaquen…