2 papers
cs.LG2026
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
Kai Zhao, Dongliang Nie, Yuchen Lin +4
Joint-Embedding Predictive Architectures (JEPAs) provide a simpleframework for learning world models by predicting future latent representations.However, JEPA training is subject t…
cs.CV2025
ProDAT: Progressive Density-Aware Tail-Drop for Point Cloud Coding
Zhe Luo, Wenjing Jia, Stuart Perry
Three-dimensional (3D) point clouds are becoming increasingly vital in applications such as autonomous driving, augmented reality, and immersive communication, demanding real-time…