Yu-Xiang Zhou

Self-supervised 3D point cloud prediction for moving objects based on deep correlation information

In autonomous driving, the continuous movement of objects exacerbates point cloud sparsity, making future frame prediction a challenging task. While self-supervised methods excel in such dynamic environments by learning temporal evolution directly from unannotated data, existing approaches often model spatial struc...