Abstract: Grasp pose detection (GPD) is a fundamental capability for robotic autonomy, but its reliance on large, diverse datasets creates significant data privacy and centralization challenges.
This repository provides an edge-based method for detecting interfaces of an aqueous sample in a vial. It was initially developed for the autoHSP workflow to automate the result analysis through image ...
Abstract: Face occlusion often makes it challenging to detect facial landmarks and head pose accurately. In this work, we present a pipeline to estimate facial landmarks and head pose when only a ...
The BBox-Mask-Pose (BMP) method integrates detection, pose estimation, and segmentation into a self-improving loop by conditioning these tasks on each other. This approach enhances all three tasks ...
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