This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

Abstract: Recent advances in implicit neural representations (INRs) have shown significant promise in modeling visual signals for various low-vision tasks including image super-resolution (ISR).

Abstract: Current contrastive learning frameworks focus on leveraging a single supervisory signal to learn representations, which limits the efficacy on unseen data and downstream tasks. In this paper ...