54 citations · 282 across the 74 of their papers we have counts for
9 papers · 1 filter
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles
Arya Rachman, Jürgen Seiler, André Kaup
Autonomous vehicles are equipped with a multi-modal sensor setup to enable the car to drive safely. The initial calibration of such perception sensors is a highly matured topic and…
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…
Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment
Ján Koloda, Jürgen Seiler, Antonio M. Peinado +1
Error concealment is of great importance for block-based video systems, such as DVB or video streaming services. In this paper, we propose a novel scalable spatial error concealmen…
Denoising-based image reconstruction from pixels located at non-integer positions
Ján Koloda, Jürgen Seiler, André Kaup
Digital images are commonly represented as regular 2D arrays, so pixels are organized in form of a matrix addressed by integers. However, there are many image processing operations…
Reliability-based Mesh-to-Grid Image Reconstruction
Ján Koloda, Jürgen Seiler, André Kaup
This paper presents a novel method for the reconstruction of images from samples located at non-integer positions, called mesh. This is a common scenario for many image processing…
Frequency selective extrapolation with residual filtering for image error concealment
Ján Koloda, Jürgen Seiler, André Kaup +2
The purpose of signal extrapolation is to estimate unknown signal parts from known samples. This task is especially important for error concealment in image and video communication…
Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources
Huynh Van Luong, Jürgen Seiler, André Kaup +1
This work considers reconstructing a target signal in a context of distributed sparse sources. We propose an efficient reconstruction algorithm with the aid of other given sources…