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Finding Facial Forgery Artifacts With Parts-Based Detectors.

, and . CVPR Workshops, page 933-942. Computer Vision Foundation / IEEE, (2021)

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Activity Detection in Untrimmed Videos Using Chunk-based Classifiers., , , , , and . WACV Workshops, page 107-116. IEEE, (2020)Deep Video Analytics of Humans: From Action Recognition to Forgery Detection.. University of Maryland, College Park, MD, USA, (2021)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/28344).Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation., , , , , , and . CoRR, (2024)A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos., , , , , and . CoRR, (2018)Adapting Style and Content for Attended Text Sequence Recognition., , , and . WACV, page 1586-1595. IEEE, (2020)Finding Facial Forgery Artifacts With Parts-Based Detectors., and . CVPR Workshops, page 933-942. Computer Vision Foundation / IEEE, (2021)SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong., , , , , , and . CoRR, (2019)A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos., , , , , and . WACV, page 141-150. IEEE, (2019)3D Human Pose Estimation from Deep Multi-View 2D Pose., and . ICPR, page 2326-2331. IEEE Computer Society, (2018)