12 citations · 43 across the 10 of their papers we have counts for
5 papers · 1 filter
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support
Viktoria Heimann, Andreas Spruck, André Kaup
With the increasing demand of capturing our environment in three-dimensions for AR/ VR applications and autonomous driving among others, the importance of high-resolution point clo…
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…
Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling
Andreas Spruck, Viktoria Heimann, André Kaup
Neural networks are widely used for almost any task of recognizing image content. Even though much effort has been put into investigating efficient network architectures, optimizer…
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…