Research output per year
Research output per year
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PLUS Temporal Image Forensics Dataset
Jöchl, R. & Uhl, A., Dec 2024.Research output: Contribution to conference › Paper › peer-review
Open Access -
Content bias in deep learning image age approximation: A new approach towards better explainability
Jöchl, R. & Uhl, A., Jun 2024, In: Pattern Recognition Letters. 182, p. 90-96 7 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning Image Age Approximation - What is more Relevant: Image Content or Age Information?
Jöchl, R. & Uhl, A., 19 Nov 2022, 21th International Workshop on Digital-forensics and Watermarking (IWDW2022). Springer, LNCS, p. 1-15 15 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Can point-cloud based neural networks learn fingerprint variability?
Söllinger, D., Jöchl, R., Kirchgasser, S. & Uhl, A., 16 Sept 2022, 2022 International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE, p. 1-8 8 p. 9897050Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Device (In)Dependence of Deep Learning-based Image Age Approximation
Jöchl, R. & Uhl, A., 21 Aug 2022, 2022 ICPR-Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection. Springer, LNCS, p. 1-14 14 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
Activities
- 1 Oral presentation
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A Machine Learning Approach to Approximate the Age of a Digital Image
Jöchl, R. (Speaker)
26 Nov 2020Activity: Talk or presentation › Oral presentation › science to science / art to art