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Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...

Abstract: This study addresses the problem of generalized category discovery (GCD), an advanced and challenging semi-supervised learning scenario that deals with unlabeled data from both known and ...

This repository contains code for resource estimation of the space-efficient quantum modular inversion procedure used in elliptic-curve discrete logarithm settings. The project currently includes two ...