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Member Profile

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
 
 Portrait Photo  
Firstname:  Robert
Lastname:  Jöchl
Room No: 1.13
Telephone: (+43) 662 8044 - 6305
Mail: rjoechl [at] cs.sbg.ac.at

Robert Jöchl

 
 

About Me:
I am a PhD student in the WaveLab group.

 
 

Research Interests:

  • Image Forensics
  • Biometrics
  • Deep Learning

 
 

Publications:

    Conference Papers

    1. [Soellinger22a ] Can point-cloud based neural networks learn fingerprint variability? Dominik Söllinger, Robert Jöchl, Simon Kirchgasser, Andreas Uhl In Proceedings of the IEEE 21th International Conference of the Biometrics Special Interest Group (BIOSIG 2022), pp. 1-8, Darmstadt, Germany, September 14 - September 16
    2. [Joechl22b  ] Deep Learning Image Age Approximation - What is more Relevant: Image Content or Age Information? Robert Joechl, Andreas Uhl In 21th International Workshop on Digital-forensics and Watermarking (IWDW2022)Guilin, China, November 19 - November 21
    3. [Joechl22a ] Device (In)Dependence of Deep Learning-based Image Age Approximation Robert Joechl, Andreas Uhl In 2022 ICPR-Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection, pp. 1-14, Montreal, Quebec, Canada, August 21
    4. [Joechl21c  ] Effects of Image Compression on Image Age Approximation Robert Joechl, Andreas Uhl In 20th International Workshop on Digital-forensics and Watermarking (IWDW2021), pp. 102-116, Beijing, China, Springer International Publishing, November 20 - November 22
    5. [Joechl21b  ] Apart from In-Field Sensor Defects, are there Additional Age Traces Hidden in a Digital Image? Robert Joechl, Andreas Uhl In 2021 IEEE International Workshop on Information Forensics and Security (WIFS), pp. 1-6, Montpellier, France, December 7 - December 10
    6. [Joechl21a   ] Identification Of In-Field Sensor Defects In The Context Of Image Age Approximation Robert Joechl, Andreas Uhl In 2021 IEEE International Conference on Image Processing (ICIP), pp. 3043-3047, Anchorage, AK, USA, September 19 - September 22
    7. [Kauba21c ] Assessment of Sensor Ageing-Impact in Air Travelled Fingerprint Capturing Devices Christof Kauba, Simon Kirchgasser, Robert Jöchl, Andreas Uhl In Proceedings of the IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG 2021), pp. 1-8, Darmstadt, Germany, September 15 - September 17
    8. [Joechl20a  ] A Machine Learning Approach to Approximate the Age of a Digital Image Robert Joechl, Andreas Uhl In Digital Forensics and Watermarking: 19th International Workshop, IWDW 2020, Melbourne, VIC, Australia, November 25--27, 2020, Revised Selected Papers, pp. 181-195, Springer LNCS, 12617, Springer International Publishing, 2021