21 citations · 26 across the 19 of their papers we have counts for
19 papers
TReViS: Temporal Repetition Structure Aware Video Synthesis for Self-supervised Repetitive Action Counting
Fanqi Yu, Shengming Ma, Stefano Fiorini +4
Fully supervised repetitive action counting (RAC) has achieved strong performance, but requires dense temporal annotations that are costly and difficult to scale. We propose TReViS…
Large language models in medical time series analysis
Yu Han, Cigdem Beyan, Xiang Zhang +6
Medical time series (MedTS), including electrocardiograms (ECG), electroencephalograms (EEG), photoplethysmography (PPG), and vital-sign recordings, are central to clinical diagnos…
FineHOI: Part-Aware Dense Representations for Zero-Shot Human-Object Interaction Detection
Francesco Tonini, Lorenzo Vaquero, Mohammad Mahdi Derakhshani +3
Human-Object Interaction (HOI) detection aims to localize humans and objects in images and classify their interactions. Zero-shot HOI focuses on recognizing interactions that are n…
AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks
Yi Wei, Xuan Qi, Furao Shen +3
Piecewise affine neural networks (PANNs) provide a principled geometric perspective on neural network expressivity by characterizing the input--output map as a continuous piecewise…
Training-Time Batch Normalization Reshapes Local Partition Geometry in Piecewise-Affine Networks
Xuan Qi, Yi Wei, Fanqi Yu +3
Batch normalization (BN) is central to modern deep networks, but its effect on the realized function during training remains less understood than its optimization benefits. We stud…
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…
MadCLIP: Few-shot Medical Anomaly Detection with CLIP
Mahshid Shiri, Cigdem Beyan, Vittorio Murino
An innovative few-shot anomaly detection approach is presented, leveraging the pre-trained CLIP model for medical data, and adapting it for both image-level anomaly classification…
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
Andrea Toaiari, Vittorio Murino, Marco Cristani +1
Gaze Target Detection (GTD), i.e., determining where a person is looking within a scene from an external viewpoint, is a challenging task, particularly in 3D space. Existing approa…
Leveraging Next-Active Objects for Context-Aware Anticipation in Egocentric Videos
Sanket Thakur, Cigdem Beyan, Pietro Morerio +2
Objects are crucial for understanding human-object interactions. By identifying the relevant objects, one can also predict potential future interactions or actions that may occur w…
Enhancing Next Active Object-based Egocentric Action Anticipation with Guided Attention
Sanket Thakur, Cigdem Beyan, Pietro Morerio +2
Short-term action anticipation (STA) in first-person videos is a challenging task that involves understanding the next active object interactions and predicting future actions. Exi…
Guided Attention for Next Active Object @ EGO4D STA Challenge
Sanket Thakur, Cigdem Beyan, Pietro Morerio +2
In this technical report, we describe the Guided-Attention mechanism based solution for the short-term anticipation (STA) challenge for the EGO4D challenge. It combines the object…
Anticipating Next Active Objects for Egocentric Videos
Sanket Thakur, Cigdem Beyan, Pietro Morerio +2
This paper addresses the problem of anticipating the next-active-object location in the future, for a given egocentric video clip where the contact might happen, before any action…
Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey
Cigdem Beyan, Alessandro Vinciarelli, Alessio Del Bue
Automated co-located human-human interaction analysis has been addressed by the use of nonverbal communication as measurable evidence of social and psychological phenomena. We surv…
Estimating Presentation Competence using Multimodal Nonverbal Behavioral Cues
Ömer Sümer, Cigdem Beyan, Fabian Ruth +3
Public speaking and presentation competence plays an essential role in many areas of social interaction in our educational, professional, and everyday life. Since our intention dur…