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Optimizing MPJPE promotes miscalibration in multi-hypothesis human pose lifting.

, , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)

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PosePipe: Open-Source Human Pose Estimation Pipeline for Clinical Research.. CoRR, (2022)Improved Trajectory Reconstruction for Markerless Pose Estimation., , , , , and . EMBC, page 1-7. IEEE, (2023)Advancing Monocular Video-Based Gait Analysis Using Motion Imitation with Physics-Based Simulation., , and . CoRR, (2024)Optimizing Trajectories and Inverse Kinematics for Biomechanical Analysis of Markerless Motion Capture Data., , , , , , , and . ICORR, page 1-6. IEEE, (2023)Kinematic Tracking of Rehabilitation Patients With Markerless Pose Estimation Fused with Wearable Inertial Sensors.. FG, page 508-514. IEEE, (2020)Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions., , , and . CoRR, (2022)Wearable Monitoring of Joint Angle and Muscle Activity., and . ICORR, page 258-263. IEEE, (2019)Self-Supervised Learning of Gait-Based Biomarkers., , , , , , , and . PRIME@MICCAI, volume 14277 of Lecture Notes in Computer Science, page 277-291. Springer, (2023)Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses., , and . NeurIPS, (2020)Smartphone Control for People with Tetraplegia by Decoding Wearable Electromyography with an On-Device Convolutional Neural Network.. BioRob, page 1140-1145. IEEE, (2020)