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AvatarShield: Visual Reinforcement Learning for Human-Centric Video Forgery Detection

• Authors : Xu, Zhipei; Zhang, Xuanyu; Zhou, Xing

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

• Authors : Wen, Haiquan; He, Yiwei; Huang, Zhenglin

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Video Forgery Detection for Surveillance Cameras: A Review

• Authors : Tayfor, Noor B.; Rashid, Tarik A.; Qader, Shko M.

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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An efficient convolution neural network method for copy-move video forgery detection

• Authors : Mohamed Meselhy Eltoukhy; Faisal S. Alsubaei; Akram M. Mortda

Subjects: Unmanned Systems, Copy-Move Forgery; Convolutional Neural Network; Video Forgery Detection

• Source: Alexandria Engineering Journal, Vol 110, Iss, Pp 429-437 (2025)

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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection.

• Authors : Alfraihi, Hessa¹ (AUTHOR); Alzaidi, Muhammad Swaileh A.² (AUTHOR); Alqahtani, Hamed³ (AUTHOR)

• Source: Scientific Reports. 2/8/2025, Vol. 15 Issue 1, p1-27. 27p.

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Comprehensive Deep Learning Framework of Image, Audio and Video Forgery Detection

• Authors : Prerana Indore

• Source: International Journal for Research in Applied Science and Engineering Technology. 13:1876-1879

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Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection

• Authors : Das, Sayantan; Kolahdouzi, Mojtaba; Özparlak, Levent

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness

• Authors : Zhou, Yangming; Ying, Qichao; Zhang, Xiangyu

Subjects: Computer Science - Computer Vision and Pattern Recognition

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Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario

• Authors : Wang, Yukai; Peng, Chunlei; Liu, Decheng

Subjects: Computer Science - Computer Vision and Pattern Recognition

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An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis.

• Authors : Bao, Qing^1,2 (AUTHOR) ; Wang, Yagang¹ (AUTHOR) ; Hua, Huaimiao² (AUTHOR)

• Source: Sensors (14248220). Aug2024, Vol. 24 Issue 16, p5341. 43p.

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