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Improving Real-Time Omnidirectional 3D Multi-Person Human Pose Estimation with People Matching and Unsupervised 2D-3D Lifting., , , , and . ICEIC, page 1-4. IEEE, (2024)Unsupervised Reconstruction of 3D Human Pose Interactions From 2D Poses Alone., and . CoRR, (2023)LInKs "Lifting Independent Keypoints" - Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation., and . CoRR, (2023)Super Resolution in Human Pose Estimation: Pixelated Poses to a Resolution Result?, , and . CoRR, (2021)The paradox of productivity during quarantine: an agent-based simulation., , and . CoRR, (2020)Optimising 2D Pose Representation: Improve Accuracy, Stability and Generalisability Within Unsupervised 2D-3D Human Pose Estimation., , and . CoRR, (2022)Can Super Resolution Improve Human Pose Estimation in Low Resolution Scenarios?, , and . VISIGRAPP (4: VISAPP), page 494-501. SCITEPRESS, (2022)LInKs "Lifting Independent Keypoints" - Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation., and . WACV, page 3414-3423. IEEE, (2024)Assessing nigrostriatal dysfunctions by pharmacological MRI in parkinsonian rhesus macaques., , , , , , and . NeuroImage, 33 (2): 636-643 (2006)Visualizing Articular Cartilage using Expectation Maximization to Compare Segmentation Ofmrimages by Independent raters., , and . ICCVG, volume 32 of Computational Imaging and Vision, page 912-920. Springer, (2004)