anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Abstract: Point cloud completion is to restore complete 3D scenes and objects from incomplete observations or limited sensor data. Existing fully-supervised methods rely on paired datasets of ...

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Abstract: In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal ...

As artificial intelligence adoption grows across sectors, professionals who build expertise in machine learning and ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...

In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

Abstract: The accurate measurement of the flatness of satellite devices is of great significance for the performance of satellites; however, the planes to be measured on satellites have different ...

Abstract: The utilization of three-dimensional point clouds is an advanced approach for detecting the geometry of objects within a building environment. Nonetheless, a vast amount of data still needs ...

Abstract: Point cloud filtering and normal estimation are two fundamental research problems in the 3D field. Existing methods usually perform normal estimation and filtering separately and often show ...