Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
A new AI-powered framework has been developed, offering new capabilities for the real-time analysis of two hands engaged in manipulating an object. A research team led by Professor Seungryul Baek from ...
The proposed framework will enable robots to accurately and more efficiently handle complex objects, while also advancing augmented reality technologies to support more lifelike hand-object ...
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