Abstract: With the focus on three-dimensional (3D) applications, the importance of applying deep learning to point clouds have been growing recently. It is known that mapping operations including ...

Abstract: Catastrophic forgetting is the core problem of class incremental learning (CIL). Existing work mainly adopts memory replay, knowledge distillation, and dynamic architecture to alleviate this ...

Abstract: Fault diagnosis of railway assets has drawn the interest of both the scholarly and engineering communities. Federated learning (FL) enables training models across distributed assets to ...

Abstract: To address the drawbacks that current multibeam bathymetric outlier removal methods lack repeatability, often require parameter adjustment for different regions, still require a lot of ...

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 ...

Ukraine's Volodymyr Zelensky has given details of an updated peace plan offering Russia the potential withdrawal of Ukrainian troops from the east and the creation of a demilitarised zone in their ...

FOXBOROUGH, Mass. -- The New England Patriots were a half away from ending Buffalo's five-year reign atop the AFC East. But after allowing Josh Allen and the Bills to score touchdowns on five straight ...

STEVENS POINT − The University of Wisconsin-Stevens Point is offering a series of planetarium shows in December, according to a community announcement. The Allen F. Blocher Planetarium will host shows ...

Abstract: Self-supervised representation learning for 3D point clouds has attracted increasing attention. However, existing methods in the field of 3D computer vision generally use fixed embeddings to ...

Setting aside time in the school day to teach students social-emotional skills, such as emotional regulation and perspective-taking, can substantially boost students’ grade-point averages and ...