3 accepted papers
Cross-modal transfer learning is used to improve multi-modal classification models (e.g., for human activity recognition in human-robot collaboration). However, existing methods require paired sensor data at both training and inference, limiting deployment in resource-constrained environments where …
Point-based models have achieved impressive success in point cloud processing, but current methods mainly address issues such as disorder, sparsity, and rotation of point clouds. In addition to these characteristics, we also found that for the point set P (X<inf xmlns:mml="http://www.w3.org/1998/Mat…
A point cloud is a geometric data structure that is a set of coordinates p(x, y, z) of points, with additional normal n(n <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf> , n <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http:/…