Stamm, Matthew C.

9 publications

CVPR 2025 Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-Generated Images Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm

WACV 2025 MVFNet: Multipurpose Video Forensics Network Using Multiple Forms of Forensic Evidence Tai D Nguyen, Matthew C Stamm

CVPRW 2024 Beyond Deepfake Images: Detecting AI-Generated Videos Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm

CVPRW 2024 E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm

WACV 2024 VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces Tai D. Nguyen, Shengbang Fang, Matthew C. Stamm

CVPRW 2023 Defending Low-Bandwidth Talking Head Videoconferencing Systems from Real-Time Puppeteering Attacks Danial Samadi Vahdati, Tai D. Nguyen, Matthew C. Stamm

CVPRW 2021 Do Deepfakes Feel Emotions? a Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies Brian C. Hosler, Davide Salvi, Anthony Murray, Fabio Antonacci, Paolo Bestagini, Stefano Tubaro, Matthew C. Stamm

ECCVW 2020 Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers Xinwei Zhao, Matthew C. Stamm

CVPRW 2020 Detecting Video Speed Manipulation Brian C. Hosler, Matthew C. Stamm