1 citations · 4 across the 9 of their papers we have counts for
9 papers
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
Leonardo Plini, Luca Scofano, Edoardo De Matteis +6
Identifying procedural errors online from egocentric videos is a critical yet challenging task across various domains, including manufacturing, healthcare, and skill-based training…
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno +3
Image-text representation learning forms a cornerstone in vision-language models, where pairs of images and textual descriptions are contrastively aligned in a shared embedding spa…
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Pascal Mettes +1
Autonomous robots are increasingly becoming a strong fixture in social environments. Effective crowd navigation requires not only safe yet fast planning, but should also enable int…
PREGO: online mistake detection in PRocedural EGOcentric videos
Alessandro Flaborea, Guido Maria D'Amely di Melendugno, Leonardo Plini +5
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This capability…
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Alessandro Flaborea, Luca Collorone, Guido D'Amely +3
Anomalies are rare and anomaly detection is often therefore framed as One-Class Classification (OCC), i.e. trained solely on normalcy. Leading OCC techniques constrain the latent r…
Best Practices for 2-Body Pose Forecasting
Muhammad Rameez Ur Rahman, Luca Scofano, Edoardo De Matteis +3
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in int…
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
Alessandro Flaborea, Guido D'Amely, Stefano D'Arrigo +3
Detecting the anomaly of human behavior is paramount to timely recognizing endangering situations, such as street fights or elderly falls. However, anomaly detection is complex sin…
Are we certain it's anomalous?
Alessandro Flaborea, Bardh Prenkaj, Bharti Munjal +4
The progress in modelling time series and, more generally, sequences of structured data has recently revamped research in anomaly detection. The task stands for identifying abnorma…
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Bharti Munjal, Alessandro Flaborea, Sikandar Amin +2
Few-shot fine-grained classification and person search appear as distinct tasks and literature has treated them separately. But a closer look unveils important similarities: both t…