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Found 4 papers, 2 papers with code
MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
Our proposed GCNFormer module exploits the local relationship between adjacent joints, outputting a new representation that is complementary to the transformer output.
Ranked #1 on
3D Human Pose Estimation
on MPI-INF-3DHP
Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
In this work we train a deep neural network to map from a two dimensional pose sequence, extracted from a video of an individual walking down a hallway toward a wall-mounted camera, to a set of three-dimensional spatiotemporal gait features averaged over the walking sequence.
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
Joint forecasting of human trajectory and pose dynamics is a fundamental building block of various applications ranging from robotics and autonomous driving to surveillance systems.
Socially and Contextually Aware Human Motion and Pose Forecasting
In this paper, we propose a novel framework to tackle both tasks of human motion (or trajectory) and body skeleton pose forecasting in a unified end-to-end pipeline.
