Abstract: 1D, 2D and multidimensional convolutions are basic tools in deep learning, notably in convolutional neural networks (CNNs) and in computer vision (template matching, correlation trackers).

Abstract: This work leverages the continuous sweeping motion of light detecting and ranging (LiDAR) scanning to concentrate object detection efforts on specific regions that receive a change in point ...

Academy Sports and Outdoors, Inc. ( ASO) Analyst/Investor Day April 7, 2026 9:00 AM EDT ...

Effective cobot safety combines collision detection and avoidance, enhancing human-robot collaboration through advanced sensing and adaptive planning.

We conduct experiments on two publicly available datasets: [Dataset 1 Name] and [Dataset 2 Name]. We summarize the statistics of two datasets in Table [X]. In the data preprocessing step, we remove ...

In this section, we propose [Method Name], which is a [general description of method type] for [purpose or application]. The overall architecture of [Method Name] is shown in ...