9 papers · 1 filter
HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
Francesco Dibitonto, Cigdem Beyan, Vittorio Murino
Recent advances in representation learning have shown that hyperbolic geometry can offer a more expressive alternative to the Euclidean embeddings used in CLIP models, capturing hi…
Geometry-Conditioned Diffusion for Occlusion-Robust In-Bed Pose Estimation
Navid Aslankhani Khameneh, Marco Carletti, Cigdem Beyan
Robust in-bed human pose estimation under blanket occlusion remains challenging due to the scarcity of reliable labeled training data for heavily covered poses. Existing approaches…
Discriminator-Guided Adaptive Diffusion for Source-Free Test-Time Adaptation under Image Corruptions
Francesco Olivato, Cigdem Beyan, Vittorio Murino
In this work, we study Source-Free Unsupervised Domain Adaptation under corruption-induced domain shifts, where performance degradation is caused by natural image corruptions that…
Lifelong Imitation Learning with Multimodal Latent Replay and Incremental Adjustment
Fanqi Yu, Matteo Tiezzi, Tommaso Apicella +2
We introduce a lifelong imitation learning framework that enables continual policy refinement across sequential tasks under realistic memory and data constraints. Our approach depa…
Dynamic Scoring with Enhanced Semantics for Training-Free Human-Object Interaction Detection
Francesco Tonini, Lorenzo Vaquero, Alessandro Conti +2
Human-Object Interaction (HOI) detection aims to identify humans and objects within images and interpret their interactions. Existing HOI methods rely heavily on large datasets wit…
MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
Mahshid Shiri, Cigdem Beyan, Vittorio Murino
Medical anomaly detection (AD) is challenging due to diverse imaging modalities, anatomical variations, and limited labeled data. We propose a novel approach combining visual adapt…