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08/24/2023
LORD: Leveraging Open-Set Recognition with Unknown Data
Handling entirely unknown data is a challenge for any deployed classifie...
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07/11/2023
Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets
Verifying the integrity of voice recording evidence for criminal investi...
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02/02/2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
Learning-based algorithms for automated license plate recognition implic...
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09/28/2022
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
An insufficient number of training samples is a common problem in neural...
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09/27/2022
3D Rendering Framework for Data Augmentation in Optical Character Recognition
In this paper, we propose a data augmentation framework for Optical Char...
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07/29/2022
Forensic License Plate Recognition with Compression-Informed Transformers
Forensic license plate recognition (FLPR) remains an open challenge in l...
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07/29/2022
Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks
Freely available and easy-to-use audio editing tools make it straightfor...
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06/21/2022
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images
One common task in image forensics is to detect spliced images, where mu...
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05/30/2022
Exploring the Open World Using Incremental Extreme Value Machines
Dynamic environments require adaptive applications. One particular machi...
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03/01/2022
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act
In many applications of forensic image analysis, state-of-the-art result...
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02/09/2021
Deep learning architectural designs for super-resolution of noisy images
Recent advances in deep learning have led to significant improvements in...
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11/04/2020
The Forchheim Image Database for Camera Identification in the Wild
Image provenance can represent crucial knowledge in criminal investigati...
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07/28/2020
Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks
In multimedia forensics, learning-based methods provide state-of-the-art...
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11/12/2019
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
The image signal processing pipeline (ISP) is a core element of digital ...
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01/25/2019
FaceForensics++: Learning to Detect Manipulated Facial Images
The rapid progress in synthetic image generation and manipulation has no...
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12/06/2018
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Distinguishing fakes from real images is becoming increasingly difficult...
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11/11/2018
A 3-D Projection Model for X-ray Dark-field Imaging
Talbot-Lau X-ray phase-contrast imaging is a novel imaging modality, whi...
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10/12/2018
A Gentle Introduction to Deep Learning in Medical Image Processing
This paper tries to give a gentle introduction to deep learning in medic...
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09/17/2018
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Capturing ground truth data to benchmark super-resolution (SR) is challe...
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07/08/2018
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Electroluminescence (EL) imaging is a useful modality for the inspection...
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06/18/2018
Segmentation of Photovoltaic Module Cells in Electroluminescence Images
High resolution electroluminescence (EL) images captured in the infrared...
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04/06/2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Inverse problems play a central role for many classical computer vision ...
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03/24/2018
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
With recent advances in computer vision and graphics, it is now possible...
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01/29/2018
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
Old master drawings were mostly created step by step in several layers u...
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12/13/2017
GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data
The amount of training data that is required to train a classifier scale...
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12/12/2017
Image Registration for the Alignment of Digitized Historical Documents
In this work, we conducted a survey on different registration algorithms...
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12/10/2017
Sketch Layer Separation in Multi-Spectral Historical Document Images
High-resolution imaging has delivered new prospects for detecting the ma...
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09/08/2017
Benchmarking Super-Resolution Algorithms on Real Data
Over the past decades, various super-resolution (SR) techniques have bee...
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08/17/2012
