Researchers developed FusionAction Net, combining spatiotemporal graph convolutional networks with differentiable dynamic time warping to evaluate athletic action quality in ...
A new probabilistic pose estimation framework combining multi-scale Vision Transformer feature fusion with adaptive uncertainty modeling improves accuracy on occluded ...
A research team has enhanced YOLOv8-Pose with a StarNet backbone, motion-relevant attention, and a composite keypoint loss to jointly classify ...
Researchers have built a Bayesian liquid neural network that scores posture quality while quantifying its own uncertainty and abstaining from ...
Researchers in Vietnam have developed WGPose-LL, a deep learning method that uses paired well-lit images to guide human pose estimation ...
A new survey compares marker-based, markerless and thermal imaging approaches to human pose estimation for detecting gait changes linked to ...
Researchers in China have developed UG-HRNet, a lightweight high-resolution network that pairs a unified guidance deformable convolution with an alternating ...
A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...
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