Alexandre Alahi

OmniTraj: Pre-training on heterogeneous data for adaptive and zero-shot human trajectory prediction

Accurate trajectory prediction of vulnerable road users is a cornerstone of safe autonomous driving and intelligent transportation systems. While large-scale pre-training has advanced this field, achieving robust zero-shot generalization remains a critical challenge for real-worl...

Explainable AI–enhanced pavement deterioration modeling using hybrid classification–regression deep learning architecture

Abstract Effective Pavement Management System (PMS) planning depends on the ability to anticipate both the severity and physical extent of multiple distress types under real-world data constraints. This work introduces an interpretable dual-stage Deep Learning (DL) framework that...