India's computer science exams still rely on outdated pen-and-paper methods. This disconnect harms student learning and ...

Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning OOD from point annotations has gained great ...

Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal box (HBox) ...

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Abstract: Accurately estimating the orientation of visual objects with compact rotated bounding boxes (RBoxes) has become a prominent demand, which challenges existing object detection paradigms that ...

Abstract: Robotic grasping faces new challenges in human-robot-interaction scenarios. We consider the task that the robot grasps a target object designated by human's language directives. The robot ...

Abstract: Moving object segmentation (MOS) using a 3D light detection and ranging (LiDAR) sensor is crucial for scene understanding and identification of moving objects. Despite the availability of ...

Abstract: Vehicle detection is vital for urban planning and traffic management. Optical remote sensing imagery, known for its high resolution and extensive coverage, is ideal for this task.

Abstract: Oriented object detection has gained increasing attention due to its ability to detect objects with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious ...

Abstract: LiDAR-based 3D single object tracking has received remarkable attention due to its crucial role in robotics and autonomous driving. Most of them are based on hierarchical feature structures ...

Abstract: Object detection in remote sensing is a challenging task due to the arbitrary orientations of objects and the vast variation in the number of objects within a single image. For instance, one ...

Abstract: Arbitrary-oriented object detection (AOOD) is widely used in aerial images because of its efficient object representation. However, current detectors use the over-standardized feature ...