24 citations · 52 across the 8 of their papers we have counts for
9 papers
Non-invasive Growth Monitoring of Small Freshwater Fish in Home Aquariums via Stereo Vision
Clemens Seibold, Anna Hilsmann, Peter Eisert
Monitoring fish growth behavior provides relevant information about fish health in aquaculture and home aquariums. Yet, monitoring fish sizes poses different challenges, as fish ar…
Video-based Locomotion Analysis for Fish Health Monitoring
Timon Palm, Clemens Seibold, Anna Hilsmann +1
Monitoring the health conditions of fish is essential, as it enables the early detection of disease, safeguards animal welfare, and contributes to sustainable aquaculture practices…
Towards Better Morphed Face Images without Ghosting Artifacts
Clemens Seibold, Anna Hilsmann, Peter Eisert
Automatic generation of morphed face images often produces ghosting artifacts due to poorly aligned structures in the input images. Manual processing can mitigate these artifacts.…
From Explanations to Segmentation: Using Explainable AI for Image Segmentation
Clemens Seibold, Johannes Künzel, Anna Hilsmann +1
The new era of image segmentation leveraging the power of Deep Neural Nets (DNNs) comes with a price tag: to train a neural network for pixel-wise segmentation, a large amount of t…
Automated Damage Inspection of Power Transmission Towers from UAV Images
Aleixo Cambeiro Barreiro, Clemens Seibold, Anna Hilsmann +1
Infrastructure inspection is a very costly task, requiring technicians to access remote or hard-to-reach places. This is the case for power transmission towers, which are sparsely…
Focused LRP: Explainable AI for Face Morphing Attack Detection
Clemens Seibold, Anna Hilsmann, Peter Eisert
The task of detecting morphed face images has become highly relevant in recent years to ensure the security of automatic verification systems based on facial images, e.g. automated…
Style Your Face Morph and Improve Your Face Morphing Attack Detector
Clemens Seibold, Anna Hilsmann, Peter Eisert
A morphed face image is a synthetically created image that looks so similar to the faces of two subjects that both can use it for verification against a biometric verification syst…
Reflection Analysis for Face Morphing Attack Detection
Clemens Seibold, Anna Hilsmann, Peter Eisert
A facial morph is a synthetically created image of a face that looks similar to two different individuals and can even trick biometric facial recognition systems into recognizing b…
Accurate and Robust Neural Networks for Security Related Applications Exampled by Face Morphing Attacks
Clemens Seibold, Wojciech Samek, Anna Hilsmann +1
Artificial neural networks tend to learn only what they need for a task. A manipulation of the training data can counter this phenomenon. In this paper, we study the effect of diff…