3 papers
cs.CV2026
HASSL: Hierarchy-Aware Self-Supervised Learning Framework for Single Cell Microscopy
Julius Riel, Vishwa Mohan Singh, Sai Anirudh Aryasomayajula +10
Hierarchical structure is common in image data, where fine-grained clusters often merge into larger, coarser semantic groups. In biological cell images, current self-supervised lea…
cs.SE2026
PerturbationDrive: A Framework for Perturbation-Based Testing of ADAS
Hannes Leonhard, Stefano Carlo Lambertenghi, Andrea Stocco
Advanced driver assistance systems (ADAS) often rely on deep neural networks to interpret driving images and support vehicle control. Although reliable under nominal conditions, th…
cs.SE2025
Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
Stefano Carlo Lambertenghi, Hannes Leonhard, Andrea Stocco
Advanced Driver Assistance Systems (ADAS) based on deep neural networks (DNNs) are widely used in autonomous vehicles for critical perception tasks such as object detection, semant…