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pro vyhledávání: '"De Matteis, Edoardo"'
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:
Scofano, Luca, Sampieri, Alessio, Schiele, Elisabeth, De Matteis, Edoardo, Leal-Taixé, Laura, Galasso, Fabio
Scene-aware global human motion forecasting is critical for manifold applications, including virtual reality, robotics, and sports. The task combines human trajectory and pose forecasting within the provided scene context, which represents a signific
Externí odkaz:
http://arxiv.org/abs/2309.08947
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