Search Results for author: Christian Riess

Found 31 papers, 5 papers with code

LORD: Leveraging Open-Set Recognition with Unknown Data

no code implementations24 Aug 2023 Tobias Koch, Christian Riess, Thomas Köhler

To mitigate dependency on extensive and costly background datasets, we explore mixup as an off-the-shelf data generation technique.

Open Set Learning

Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets

no code implementations11 Jul 2023 Denise Moussa, Germans Hirsch, Sebastian Wankerl, Christian Riess

Verifying the integrity of voice recording evidence for criminal investigations is an integral part of an audio forensic analyst's work.

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

1 code implementation2 Feb 2023 Franziska Schirrmacher, Benedikt Lorch, Anatol Maier, Christian Riess

Such an uncertainty measure allows to detect false predictions, indicating an analyst when not to trust the result of the automated license plate recognition.

Benchmarking License Plate Recognition +3

Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition

no code implementations28 Sep 2022 Andreas Spruck, Maximilane Gruber, Anatol Maier, Denise Moussa, Jürgen Seiler, Christian Riess, André Kaup

The benefits of the proposed data generation pipeline, especially for machine learning scenarios with limited available training data, are demonstrated by an extensive experimental validation in the context of automatic license plate recognition.

Data Augmentation License Plate Recognition +1

3D Rendering Framework for Data Augmentation in Optical Character Recognition

no code implementations27 Sep 2022 Andreas Spruck, Maximiliane Hawesch, Anatol Maier, Christian Riess, Jürgen Seiler, André Kaup

Applying the proposed method, improvements of up to 2. 79 percentage points in terms of Character Error Rate (CER), and up to 7. 88 percentage points in terms of Word Error Rate (WER) are achieved on the subset.

Data Augmentation Optical Character Recognition +1

Forensic License Plate Recognition with Compression-Informed Transformers

no code implementations29 Jul 2022 Denise Moussa, Anatol Maier, Andreas Spruck, Jürgen Seiler, Christian Riess

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 from highly compressed and/or low resolution footage, e. g., from surveillance cameras.

License Plate Recognition

Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images

no code implementations21 Jun 2022 Benjamin Hadwiger, Christian Riess

In our evaluation, we show that the proposed embedding space outperforms the state of the art on images that have been subject to strong compression and downsampling.

Image Forensics

Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act

no code implementations1 Mar 2022 Benedikt Lorch, Nicole Scheler, Christian Riess

Under the draft AI act, high-risk AI systems for use in law enforcement are permitted but subject to compliance with mandatory requirements.

BIG-bench Machine Learning License Plate Recognition

Deep learning architectural designs for super-resolution of noisy images

1 code implementation9 Feb 2021 Angel Villar-Corrales, Franziska Schirrmacher, Christian Riess

Recent advances in deep learning have led to significant improvements in single image super-resolution (SR) research.

Denoising Image Super-Resolution

The Forchheim Image Database for Camera Identification in the Wild

no code implementations4 Nov 2020 Benjamin Hadwiger, Christian Riess

It consists of more than 23, 000 images of 143 scenes by 27 smartphone cameras, and it allows to cleanly separate image content from forensic artifacts.

Benchmarking Fact Checking

Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks

no code implementations28 Jul 2020 Anatol Maier, Benedikt Lorch, Christian Riess

To this end, we propose to use Bayesian neural networks (BNN), which combine the power of deep neural networks with the rigorous probabilistic formulation of a Bayesian framework.

Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing

no code implementations12 Nov 2019 Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler

As such, it is end-to-end trainable, circumvents the use of hand-crafted and potentially complex algorithms, and mitigates error propagation.

Demosaicking Vocal Bursts Intensity Prediction

FaceForensics++: Learning to Detect Manipulated Facial Images

14 code implementations25 Jan 2019 Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner

In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.

DeepFake Detection Face Swapping +2

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

no code implementations6 Dec 2018 Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, Luisa Verdoliva

We devise a learning-based forensic detector which adapts well to new domains, i. e., novel manipulation methods and can handle scenarios where only a handful of fake examples are available during training.

Domain Adaptation

A 3-D Projection Model for X-ray Dark-field Imaging

no code implementations11 Nov 2018 Shiyang Hu, Lina Felsner, Andreas Maier, Veronika Ludwig, Gisela Anton, Christian Riess

A key step of the reconstruction algorithm is the inversion of a forward projection model.

A Gentle Introduction to Deep Learning in Medical Image Processing

no code implementations12 Oct 2018 Andreas Maier, Christopher Syben, Tobias Lasser, Christian Riess

This paper tries to give a gentle introduction to deep learning in medical image processing, proceeding from theoretical foundations to applications.

Image Registration Image Segmentation +1

Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings

no code implementations29 Jan 2018 AmirAbbas Davari, Nikolaos Sakaltras, Armin Haeberle, Sulaiman Vesal, Vincent Christlein, Andreas Maier, Christian Riess

In this work, we propose an image processing pipeline that operates on hyperspectral images to separate such layers.

Attribute

Image Registration for the Alignment of Digitized Historical Documents

no code implementations12 Dec 2017 AmirAbbas Davari, Tobias Lindenberger, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess

In this work, we conducted a survey on different registration algorithms and investigated their suitability for hyperspectral historical image registration applications.

Image Registration

Sketch Layer Separation in Multi-Spectral Historical Document Images

no code implementations10 Dec 2017 AmirAbbas Davari, Armin Häberle, Vincent Christlein, Andreas Maier, Christian Riess

High-resolution imaging has delivered new prospects for detecting the material composition and structure of cultural treasures.

Benchmarking Super-Resolution Algorithms on Real Data

no code implementations8 Sep 2017 Thomas Köhler, Michel Bätz, Farzad Naderi, André Kaup, Andreas K. Maier, Christian Riess

Therefore, current studies are either evaluated 1) on simulated data or 2) on real data without a pixel-wise ground truth.

Benchmarking Super-Resolution

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