The Spherical Sliced Wasserstein (SSW) distance has emerged as a fundamental tool for comparing probability measures on the hypersphere, with broad applications spanning geology, medical imaging, computer vision, and representation learning. However, its reliance on uniformly sampling a large number of projection direc...
Hong-Liang Zhang, Jian-Jun Qian, Lei Luo et al.· Proceedings of the Thirty-Fi...· 0 citations
Accurately predicting pedestrian crossing intent is paramount for the safety and reliability of autonomous driving systems in complex urban environments. Despite tremendous progress in the past decade, existing methods often fail to make reliable predictions from instantaneous observations. To address this limitation,...