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Found 9 papers, 3 papers with code
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
At the core of our method, a pose compiler module refines predictions from a 2D keypoints estimator that operates on a single image by leveraging temporal and cross-view information.
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers
Next, we design a regression-based inverse-kinematic skeletal transformer that maps the joint positions to pose and shape representations from heavily noisy observations.
ZeroEGGS: Zero-shot Example-based Gesture Generation from Speech
In a series of experiments, we first demonstrate the flexibility and generalizability of our model to new speakers and styles.
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators
In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes.
MoVi: A large multi-purpose human motion and video dataset
Large high-quality datasets of human body shape and kinematics lay the foundation for modelling and simulation approaches in computer vision, computer graphics, and biomechanics.
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
In this context, we propose a novel deep network, learning to transfer multi-scale partial gait representations using capsules to obtain more discriminative gait features.
MoVi: A Large Multipurpose Motion and Video Dataset
In five capture rounds, the same actors and movements were recorded using different hardware systems, including an optical motion capture system, video cameras, and inertial measurement units (IMU).
In-bed Pressure-based Pose Estimation using Image Space Representation Learning
Recent advances in deep pose estimation models have proven to be effective in a wide range of applications such as health monitoring, sports, animations, and robotics.
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning
Optical marker-based motion capture is a vital tool in applications such as motion and behavioural analysis, animation, and biomechanics.
