Robert Jöchl

15 papers B 1C 3Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
FaceQSORT: Can a Combination of two Biometric Features Achieve Competitive Performance?
DSP
Robert Jöchl, Andreas Uhl
2025 — conf
FaceQSORT: a Comprehensive Evaluation of Different Appearance Features.
BIOSIG
Robert Jöchl, Andreas Uhl
2025 J jnl
FaceQSORT: a Multi-Face Tracking Method based on Biometric and Appearance Features.
CoRR
Robert Jöchl, Andreas Uhl
2025 J jnl
Temporal Image Forensics: A Review and Critical Evaluation.
CoRR
Robert Jöchl, Andreas Uhl
2024 J jnl
Content bias in deep learning image age approximation: A new approach towards better explainability.
Pattern Recognit. Lett.
Robert Jöchl, Andreas Uhl
2024 J jnl
Device (In)Dependence of Deep Learning-based Image Age Approximation.
CoRR
Robert Jöchl, Andreas Uhl
2024 — conf
PLUS Temporal Image Forensics Dataset.
WIFS
Robert Jöchl, Andreas Uhl
2023 J jnl
Content Bias in Deep Learning Age Approximation: A new Approach Towards more Explainability.
CoRR
Robert Jöchl, Andreas Uhl
2022 — conf
Can point-cloud based neural networks learn fingerprint variability?
BIOSIG
Dominik Söllinger, Robert Jöchl, Simon Kirchgasser, Andreas Uhl
2022 C conf
Deep Learning Image Age Approximation - What is More Relevant: Image Content or Age Information?
IWDW
Robert Jöchl, Andreas Uhl
2021 — conf
Apart from In-field Sensor Defects, are there Additional Age Traces Hidden in a Digital Image?
WIFS
Robert Jöchl, Andreas Uhl
2021 — conf
Assessment of Sensor Ageing-Impact in Air Travelled Fingerprint Capturing Devices.
BIOSIG
Christof Kauba, Simon Kirchgasser, Robert Jöchl, Andreas Uhl
2021 C conf
Effects of Image Compression on Image Age Approximation.
IWDW
Robert Jöchl, Andreas Uhl
2021 B conf
Identification Of In-Field Sensor Defects In The Context Of Image Age Approximation.
ICIP
Robert Jöchl, Andreas Uhl
2020 C conf
A Machine Learning Approach to Approximate the Age of a Digital Image.
IWDW
Robert Jöchl, Andreas Uhl