
The proposed Decoupled Space-Time Aggregation (DSTA) network efficiently models the spatial and temporal dependencies of human pose joints in video sequences, outperforming previous regression-based methods and achieving performance on par with state-of-the-art heatmap-based methods.


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efficient-video-based-human-pose-regression-with-decoupled-space-time-aggregation


Efficient Video-Based Human Pose Regression with Decoupled Space-Time Aggregation


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The proposed Kinematics Modeling Network (KIMNet) explicitly models the temporal correlation between joints across different frames to improve the robustness and accuracy of video-based human pose estimation.


kinematics-modeling-network-for-robust-video-based-human-pose-estimation


Kinematics Modeling Network for Robust Video-based Human Pose Estimation
