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20222024
most citedMultimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

1 citations · 4 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

cs.CV2022

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…