About Me
I am a Ph.D. candidate in Computer Science at Drexel University. My research focuses on computer vision and AI-generated media forensics, with an emphasis on robust detection, attribution, and adaptation to emerging generative models.
My broader research interests lie in developing reliable and adaptive AI systems that can operate under distribution shifts and rapidly evolving generative technologies.
Research Interests
Computer Vision · AI-Generated Media Forensics · Open-World Machine Learning · Anomaly Detection · Self-Supervised Learning
News
- [Oct. 2026] Our work on Self-Adaptive AI-Generated Image Identification Systems was accepted to WACV 2027.
- [Sep. 2026] Our work on zero-shot detection of AI-generated videos was accepted to NeurIPS 2026 as an Oral Presentation.
- [Apr. 2026] Our work on improving synthetic video detector transferability was accepted to ACM IH&MMSec 2026.
- [Feb. 2025] Our work on zero-shot detection of AI-generated images was accepted to CVPR 2025.
- [Apr. 2024] Our work on continual learning of AI-generated image detectors was accepted to the CVPR 2024 Workshops.
- [Apr. 2024] Our work Beyond Deepfake Images: Detecting AI-Generated Videos was accepted to the CVPR 2024 Workshops.
Publications
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Aref Azizpour, Tai D. Nguyen, Matthew C. Stamm
IEEE/CVF Winter Conference on Applications of Computer Vision WACV, 2027.
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Aref Azizpour, Tai D. Nguyen, Matthew C. Stamm
Conference on Neural Information Processing Systems (NeurIPS), 2026.
Oral Presentation
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Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Hamed Ahangari, Matthew C. Stamm
ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), 2026.
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Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
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Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.
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Danial Samadi Vahdati, Tai D. Nguyen, Aref Azizpour, Matthew C. Stamm
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.
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