Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Flaborea, Alessandro"'
Autor:
Pal, Avik, van Spengler, Max, di Melendugno, Guido Maria D'Amely, Flaborea, Alessandro, Galasso, Fabio, Mettes, Pascal
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 space. Since visual and textual concepts are naturally hierarchical, rece
Externí odkaz:
http://arxiv.org/abs/2410.06912
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 interpretability and computational efficiency for working in real-time on
Externí odkaz:
http://arxiv.org/abs/2407.13567
Autor:
Flaborea, Alessandro, di Melendugno, Guido Maria D'Amely, Plini, Leonardo, Scofano, Luca, De Matteis, Edoardo, Furnari, Antonino, Farinella, Giovanni Maria, Galasso, Fabio
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 has a wide range of applications across various fields, such as manuf
Externí odkaz:
http://arxiv.org/abs/2404.01933
Autor:
Flaborea, Alessandro, Collorone, Luca, D'Amely, Guido, D'Arrigo, Stefano, Prenkaj, Bardh, Galasso, Fabio
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 representations of normal motions to limited volumes and detect as abno
Externí odkaz:
http://arxiv.org/abs/2307.07205
Autor:
Rahman, Muhammad Rameez Ur, Scofano, Luca, De Matteis, Edoardo, Flaborea, Alessandro, Sampieri, Alessio, Galasso, Fabio
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 interaction, instead of each separately, promises better performance, due
Externí odkaz:
http://arxiv.org/abs/2304.05758
Autor:
Flaborea, Alessandro, D'Amely, Guido, D'Arrigo, Stefano, Sterpa, Marco Aurelio, Sampieri, Alessio, Galasso, Fabio
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 since anomalous events are rare and because it is an open set recognition
Externí odkaz:
http://arxiv.org/abs/2301.09489
Autor:
Flaborea, Alessandro, Prenkaj, Bardh, Munjal, Bharti, Sterpa, Marco Aurelio, Aragona, Dario, Podo, Luca, Galasso, Fabio
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 abnormal behaviors in financial series, IT systems, aerospace measurements, a
Externí odkaz:
http://arxiv.org/abs/2211.09224
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 tasks target categories that can only be discriminated by specific obje
Externí odkaz:
http://arxiv.org/abs/2209.10250
Autor:
Flaborea, Alessandro, D’Amely di Melendugno, Guido Maria, D’Arrigo, Stefano, Sterpa, Marco Aurelio, Sampieri, Alessio, Galasso, Fabio
Publikováno v:
In Pattern Recognition December 2024 156
Autor:
Prenkaj, Bardh, Aragona, Dario, Flaborea, Alessandro, Galasso, Fabio, Gravina, Saverio, Podo, Luca, Reda, Emilia, Velardi, Paola
Publikováno v:
In Artificial Intelligence In Medicine January 2023 135