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Abstract: Accurate localization of graspable regions within a single object point cloud is critical to enable task-based robot grasps. State-of-the-art task-based robot grasp synthesis methods fit ...

Abstract: 3D object detection is a fundamental task in scene understanding. Numerous research efforts have been dedicated to better incorporate Hough voting into the 3D object detection pipeline.

Abstract: Point cloud-based 3-D object detection is a significant and critical issue in numerous applications. While most existing methods attempt to capitalize on the geometric characteristics of ...

Abstract: Multi-object tracking (MOT) plays a critical role in applications such as autonomous driving and surveillance. Camera-based approaches offer rich texture features for object association, ...

Abstract: The aim of this paper is to obtain students' review on the possible difficulties and workload when mastering the prescribed learning outcomes in object-oriented programming courses based on ...

Abstract: Oriented object detectors have suffered severely from the discontinuous boundary problem for a long time. In this work, we ingeniously avoid this problem by relating regression outputs to ...