Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Taioli, Francesco"'
Autor:
Taioli, Francesco, Rosa, Stefano, Castellini, Alberto, Natale, Lorenzo, Del Bue, Alessio, Farinelli, Alessandro, Cristani, Marco, Wang, Yiming
In the Vision-and-Language Navigation in Continuous Environments (VLN-CE) task, the human user guides an autonomous agent to reach a target goal via a series of low-level actions following a textual instruction in natural language. However, most exis
Externí odkaz:
http://arxiv.org/abs/2406.05080
Autor:
Capogrosso, Luigi, Girella, Federico, Taioli, Francesco, Chiara, Michele Dalla, Aqeel, Muhammad, Fummi, Franco, Setti, Francesco, Cristani, Marco
In this study, we show that diffusion models can be used in industrial scenarios to improve the data augmentation procedure in the context of surface defect detection. In general, defect detection classifiers are trained on ground-truth data formed b
Externí odkaz:
http://arxiv.org/abs/2406.00501
Autor:
Taioli, Francesco, Rosa, Stefano, Castellini, Alberto, Natale, Lorenzo, Del Bue, Alessio, Farinelli, Alessandro, Cristani, Marco, Wang, Yiming
Vision-and-Language Navigation in Continuous Environments (VLN-CE) is one of the most intuitive yet challenging embodied AI tasks. Agents are tasked to navigate towards a target goal by executing a set of low-level actions, following a series of natu
Externí odkaz:
http://arxiv.org/abs/2403.10700
Autor:
Taioli, Francesco, Cunico, Federico, Girella, Federico, Bologna, Riccardo, Farinelli, Alessandro, Cristani, Marco
We present Le-RNR-Map, a Language-enhanced Renderable Neural Radiance map for Visual Navigation with natural language query prompts. The recently proposed RNR-Map employs a grid structure comprising latent codes positioned at each pixel. These latent
Externí odkaz:
http://arxiv.org/abs/2308.08854
Autor:
Taioli, Francesco, Giuliari, Francesco, Wang, Yiming, Berra, Riccardo, Castellini, Alberto, Del Bue, Alessio, Farinelli, Alessandro, Cristani, Marco, Setti, Francesco
We propose a solution for Active Visual Search of objects in an environment, whose 2D floor map is the only known information. Our solution has three key features that make it more plausible and robust to detector failures compared to state-of-the-ar
Externí odkaz:
http://arxiv.org/abs/2303.03155
Autor:
Taioli, Francesco, Giuliari, Francesco, Wang, Yiming, Berra, Riccardo, Castellini, Alberto, Bue, Alessio Del, Farinelli, Alessandro, Cristani, Marco, Setti, Francesco
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence; December 2024, Vol. 46 Issue: 12 p11047-11058, 12p
Autor:
Morra, Lia, Azzari, Alberto, Bergamasco, Letizia, Braga, Marco, Capogrosso, Luigi, Delrio, Federico, DI GIACOMO, Giuseppe, Eiraudo, Simone, Ghione, Giorgia, Giudice, Rocco, Koudounas, Alkis, Piano, Luca, REGE CAMBRIN, Daniele, Risso, Matteo, Rondina, Marco, Russo, ALESSANDRO SEBASTIAN, Russo, Marco, Taioli, Francesco, Vaiani, Lorenzo, Vercellino, Chiara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2153::ca5d76593497df6342d159b17b6dcf2f
https://hdl.handle.net/11583/2978475
https://hdl.handle.net/11583/2978475