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Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture.

, , , and . 3DV, page 474-483. IEEE Computer Society, (2018)

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EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans., , , , and . CoRR, (2024)SelfPose: 3D Egocentric Pose Estimation From a Headset Mounted Camera., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (6): 6794-6806 (June 2023)More is better: 3D human pose estimation from complementary data sources.. University College London, UK, (2021)British Library, EThOS.Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image., , and . CVPR, page 5689-5698. IEEE Computer Society, (2017)xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera., , , and . ICCV, page 7727-7737. IEEE, (2019)Reduced memory region based deep Convolutional Neural Network detection., , , , , and . ICCE-Berlin, page 15-19. IEEE, (2016)Deep convolutional neural networks for pedestrian detection, , , , , and . (2015)cite arxiv:1510.03608Comment: submitted to Elsevier Signal Processing: Image Communication special Issue on Deep Learning.Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion Capture., , , and . 3DV, page 474-483. IEEE Computer Society, (2018)SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera., , , , , , and . CoRR, (2020)Deep Convolutional Neural Networks for pedestrian detection., , , , , and . Signal Process. Image Commun., (2016)