IEEE

On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach

Abstract: Pre-trained Vision-Language Models (VLMs) like CLIP, have demonstrated strong zero-shot generalization capabilities. Despite their effectiveness on various downstream tasks, they remain ...

Judson University Partners with Quest Food Management Services to Enhance Campus Dining Experience

New partnership innovates the campus dining program, introducing a refreshed, hospitality-driven experience that ...
IEEE

VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving

Abstract: This paper introduces VisionPAD, a novel self-supervised pre-training paradigm designed for vision-centric algorithms in autonomous driving. In contrast to previous approaches that employ ...

Meta’s Reality Labs Cuts Add to Fears of ‘VR Winter’

Few believe Meta will abandon VR entirely, but many see an unmistakable pivot as resources move toward AI systems and devices ...