3 papers
cs.CV2026
Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context and Confidence
Michele Fiori, Gabriele Civitarese, Marco Colussi +1
Unobtrusive sensor-based recognition of Activities of Daily Living (ADLs) in smart homes by processing data collected from IoT sensing devices supports applications such as healthc…
cs.CV2025
MIAS-SAM: Medical Image Anomaly Segmentation without thresholding
Marco Colussi, Dragan Ahmetovic, Sergio Mascetti
This paper presents MIAS-SAM, a novel approach for the segmentation of anomalous regions in medical images. MIAS-SAM uses a patch-based memory bank to store relevant image features…
cs.CV2024
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
Marco Colussi, Sergio Mascetti, Jose Dolz +1
The remarkable progress in deep learning (DL) showcases outstanding results in various computer vision tasks. However, adaptation to real-time variations in data distributions rema…