Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

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In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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Digital twins are virtual models of physical objects or systems that enable real-time monitoring and analysis. In the ﬁeld of stone masonry buildings, digital twins can be used to assess damage, predict maintenance needs, and opti- mize building performanc ...

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We propose a test -time adaptation for 6D object pose tracking that learns to adapt a pre -trained model to track the 6D pose of novel objects. We consider the problem of 6D object pose tracking as a 3D keypoint detection and matching task and present a mo ...

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Current transformer-based skeletal action recognition models tend to focus on a limited set of joints and low-level motion patterns to predict action classes. This results in significant performance degradation under small skeleton perturbations or changin ...

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

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