Dr. Alexander Schwegmann Profile

Dr. Alexander Schwegmann

at Fraunhofer IOSB

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Author

Publications (6)

Proceedings Article | 1 November 2024 Presentation

Counter AI methods against visual reconnaissance

Alexander Schwegmann, Claudia Hübner

Proceedings Volume 13199, 1319903 (2024) https://doi.org/10.1117/12.3033914

KEYWORDS: Reconnaissance, Artificial intelligence, Visualization, Image classification, Camouflage, Mathematical optimization

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Proceedings Article | 1 November 2024 Presentation

Developing dual attribute adversarial camouflage patterns for counter-AI reconnaissance

Claudia Hübner, Alexander Schwegmann

Proceedings Volume 13199, 1319902 (2024) https://doi.org/10.1117/12.3033819

KEYWORDS: Camouflage, Reconnaissance, Visible radiation, Object detection, Image classification, Deep learning, Convolutional neural networks, Artificial intelligence

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Proceedings Article | 23 October 2023 Presentation

Developing dual attribute adversarial camouflage for counter-AI reconnaissance

Claudia Hübner, Alexander Schwegmann

Proceedings Volume 12736, 1273604 (2023) https://doi.org/10.1117/12.2679418

KEYWORDS: Camouflage, Reconnaissance, Visible radiation, Object detection, Image classification, Deep learning, Convolutional neural networks, Artificial intelligence

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Proceedings Article | 23 October 2023 Presentation

Evaluation of dual attribute adversarial camouflage and counter-AI reconnaissance methods in terms of more realistic spatial alignment

Alexander Schwegmann

Proceedings Volume 12736, 1273603 (2023) https://doi.org/10.1117/12.2679322

KEYWORDS: Camouflage, Reconnaissance, Artificial intelligence, Visualization, Surveillance, Reconnaissance systems, Distance measurement

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Proceedings Article | 2 November 2022 Presentation

Camouflage methods to counter artificial intelligence recognition (Conference Presentation)

Alexander Schwegmann

Proceedings Volume 12270, 1227005 (2022) https://doi.org/10.1117/12.2638485

KEYWORDS: Artificial intelligence, Camouflage, Software development, Classification systems, Reconnaissance systems, Reconnaissance, Neural networks, Convolutional neural networks

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Proceedings Article | 9 October 2018 Presentation + Paper

Camouflage evaluation by bio-inspired local conspicuity quantification

A. Schwegmann

Proceedings Volume 10794, 107940H (2018) https://doi.org/10.1117/12.2325111

KEYWORDS: Camouflage, Visualization, Color difference, Spatial frequencies, Image analysis, Radon transform, Eye models, Visual analytics, Image visualization, Biomimetics

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Showing 5 of 6 publications

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