Forensic Similarity for Digital Images O Mayer, MC Stamm IEEE Transactions on Information Forensics and Security, 2019 | 150 | 2019 |
Learned forensic source similarity for unknown camera models O Mayer, MC Stamm Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International …, 2018 | 93 | 2018 |
Accurate and efficient image forgery detection using lateral chromatic aberration O Mayer, MC Stamm IEEE Transactions on information forensics and security 13 (7), 1762-1777, 2018 | 80 | 2018 |
Exposing fake images with forensic similarity graphs O Mayer, MC Stamm IEEE Journal of Selected Topics in Signal Processing 14 (5), 1049-1064, 2020 | 70 | 2020 |
Learning Unified Deep-Features for Multiple Forensic Tasks O Mayer, B Bayar, MC Stamm Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia …, 2018 | 55 | 2018 |
A video camera model identification system using deep learning and fusion B Hosler, O Mayer, B Bayar, X Zhao, C Chen, JA Shackleford, MC Stamm ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 51 | 2019 |
The video authentication and camera identification database: A new database for video forensics BC Hosler, X Zhao, O Mayer, C Chen, JA Shackleford, MC Stamm IEEE access 7, 76937-76948, 2019 | 50 | 2019 |
Open set video camera model verification O Mayer, B Hosler, MC Stamm ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 35 | 2020 |
Classification of sleep states in mice using generic compression algorithms O Mayer, DC Lim, AI Pack, MC Stamm 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-2, 2016 | 18 | 2016 |
Improved forgery detection with lateral chromatic aberration O Mayer, M Stamm 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 17 | 2016 |
Anti-forensics of chromatic aberration O Mayer, MC Stamm Media Watermarking, Security, and Forensics 2015 9409, 192-200, 2015 | 15 | 2015 |
Countering anti-forensics of lateral chromatic aberration O Mayer, MC Stamm Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia …, 2017 | 13 | 2017 |
Receiver operating characteristic for a spectrogram correlator-based humpback whale detector-classifier TA Abbot, VE Premus, PA Abbot, OA Mayer The Journal of the Acoustical Society of America 132 (3), 1502-1510, 2012 | 4 | 2012 |
Joint Demosaicing And Denoising With Double Deep Image Priors T Li, A Lahiri, Y Dai, O Mayer ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
Learned forensic source system for identification of image capture device models and forensic similarity of digital images O Mayer, MC Stamm US Patent App. 17/599,872, 2022 | 2 | 2022 |
Method for automatic sensor pixel arrangement optimized for multiple camera tasks O Mayer, S Noguchi, J Takatori, A Berestov US Patent App. 17/842,077, 2023 | | 2023 |
Image Forgery Detection Using Deep Learning and Signal Processing Methods O Mayer Drexel University, 2019 | | 2019 |
Analysis of most prominent signal features of humpback whale (Megaptera Novaeangliae) vocalizations towards the goal of autonomous acoustic classification. T Abbot, O Mayer, V Premus, P Abbot, I Dyer The Journal of the Acoustical Society of America 125 (4_Supplement), 2677-2677, 2009 | | 2009 |
The Video Authentication and Camera Identification Database (Video-ACID): A New Database for Video Forensics BC Hosler, X Zhao, O Mayer, C Chen, JA Shackleford, MC Stamm | | |