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| Artificial Intelligence in Industrial Vision Salzburg (AIIV)
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Project Description:
The WISS2025 project Artificial Intelligence in Industrial Vision Salzburg is
aiming to develop a set of solutions for industrial vision problems. Target applications include product as well as human subject authentication and microscopy-based cell analysis.
The application of recent artificial intelligence technology links the various solutions, in particular, the common and binding element among all topics is how to deal with
insufficient training data, either incorrectly/inaccuratly labled or simply insufficient in terms of data volume.
This project is conducted in
cooperation with Authentic Vision, Dental Manufacturing Unit, e-Mundo, Skidata and TECAN.
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Members:
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Timeframe:
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Publications:
- [Wimmer24a ] The risk of image generator-specific traces in synthetic training data Georg Wimmer, Dominik Söllinger, Andreas Uhl In In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, pp. 199-206, 2024
- [Kurth24a ] Compression Robustness of Digital Image Forensics evaluating Demosaicing Consistency Felix Kurth, Thomas Wulz, Andreas Uhl In Proceedings of the 12th International Workshop on Biometrics and Forensics (IWBF'24), pp. 1-6, Enschede, Netherlands, April 11 - April 12, 2024
- [Hafner24a ] Forensic Recognition of Codec-Specific Image Compression Artefacts Michael Hafner, Aleksandar Radovic, Moritz Langer, Stefan Findenig, Andreas Uhl In Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security, pp. 131–136, New York, NY, USA, IH&MMSec '24, Association for Computing Machinery, 2024
- [Schuiki24a ] On the Influence of Texture Strength and Camera Signal on Micro-Texture Surface Classification Johannes Schuiki, Christof Kauba, Heinz Hofbauer, Andreas Uhl In Proceedings of the 12th International Workshop on Biometrics and Forensics (IWBF'24), pp. 1-6, Enschede, Netherlands, April 11 - April 12, 2024
- [Schuiki23d ] Limiting Factors in Smartphone-Based Cross-Sensor Microstructure Material Classification Johannes Schuiki, Christof Kauba, Heinz Hofbauer, Andreas Uhl In 22th International Workshop on Digital-forensics and Watermarking (IWDW'23), pp. 33-47, Jinan, China, Springer LNCS, 14511, November 25 - November 26, 2023
- [Schuiki23b ] Cross-Sensor Micro-Texture Material Classification and Smartphone Acquisition do not go well together Johannes Schuiki, Christof Kauba, Heinz Hofbauer, Andreas Uhl In Proceedings of the 11th International Workshop on Biometrics and Forensics (IWBF'23), pp. 1-6, Barcelona, Spain, April 20 - April 21, 2023
- [Jalilian23a ] Impact of Image Compression on In-vitro Cell Migration Analysis Ehsaneddin Jalilian, Michael Linortner, Andreas Uhl Computers 12:5, pp. 98, 2023
- [Remy22a ] Comparative Compression Robustness Evaluation of Digital Image Forensics Oliver Remy, Sebastian Strumegger, Jutta Hämmerle-Uhl, Andreas Uhl In Computational Science and Its Applications -- ICCSA 2022, pp. 236-246, Cham, LNCS, 13376, Springer International Publishing, 2022
- [Jalilian21c ] Deep Learning Based Automated Vickers Hardness Measurement Ehsaneddin Jalilian, Andreas Uhl In Proceedings of the 19th International Conference on Computer Analysis of Images and Patterns (CAIP 2021), pp. 3-13, Nicosia, Cyprus (held Online due to Covid), Springer Lecture Notes on Computer Science (LNCS), 13053, September 22 - 1 October, 2021
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