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Articulated people detection and pose estimation: Reshaping the future.

, , , , and . CVPR, page 3178-3185. IEEE Computer Society, (2012)

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Articulated people detection and pose estimation: Reshaping the future., , , , and . CVPR, page 3178-3185. IEEE Computer Society, (2012)A Novel Dynamic Rate Based System for Matching and Retrieval in Images and Video Sequences., , and . CSSE (4), page 556-560. IEEE Computer Society, (2008)978-0-7695-3336-0.Automatic Detection of Advertising Trademarks., , , and . IRCDL, page 83-88. DELOS: an Association for Digital Libraries, (2008)Multi-layer stencil creation from images., , , , and . Computers & Graphics, (2015)A Large Dataset for Improving Patch Matching., , , , , , and . CoRR, (2018)Structure-Aware and Temporally Coherent 3D Human Pose Estimation., , , , and . CoRR, (2017)On the Robustness of Human Pose Estimation., , , and . CoRR, (2019)Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking., , , , and . CoRR, (2019)Learning 3D Human Pose from Structure and Motion., , , , , and . ECCV (9), volume 11213 of Lecture Notes in Computer Science, page 679-696. Springer, (2018)MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation., , , and . ACCV (2), volume 9004 of Lecture Notes in Computer Science, page 302-315. Springer, (2014)