Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Babiloni, Francesca"'
We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of a subject. The foundation of our approach is anchored in compositiona
Externí odkaz:
http://arxiv.org/abs/2405.16570
Behavior of neural networks is irremediably determined by the specific loss and data used during training. However it is often desirable to tune the model at inference time based on external factors such as preferences of the user or dynamic characte
Externí odkaz:
http://arxiv.org/abs/2304.00898
Autor:
Babiloni, Francesca, Marras, Ioannis, Kokkinos, Filippos, Deng, Jiankang, Chrysos, Grigorios, Zafeiriou, Stefanos
Spatial self-attention layers, in the form of Non-Local blocks, introduce long-range dependencies in Convolutional Neural Networks by computing pairwise similarities among all possible positions. Such pairwise functions underpin the effectiveness of
Externí odkaz:
http://arxiv.org/abs/2107.02859
Autor:
Elhoseiny, Mohamed, Babiloni, Francesca, Aljundi, Rahaf, Rohrbach, Marcus, Paluri, Manohar, Tuytelaars, Tinne
So far life-long learning (LLL) has been studied in relatively small-scale and relatively artificial setups. Here, we introduce a new large-scale alternative. What makes the proposed setup more natural and closer to human-like visual systems is three
Externí odkaz:
http://arxiv.org/abs/1812.10524
Humans can learn in a continuous manner. Old rarely utilized knowledge can be overwritten by new incoming information while important, frequently used knowledge is prevented from being erased. In artificial learning systems, lifelong learning so far
Externí odkaz:
http://arxiv.org/abs/1711.09601
Autor:
Massouh, Nizar, Babiloni, Francesca, Tommasi, Tatiana, Young, Jay, Hawes, Nick, Caputo, Barbara
Publikováno v:
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Deep networks thrive when trained on large scale data collections. This has given ImageNet a central role in the development of deep architectures for visual object classification. However, ImageNet was created during a specific period in time, and a
Externí odkaz:
http://arxiv.org/abs/1702.08513
Akademický článek
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Autor:
Babiloni, Francesca, Marras, Ioannis, Deng, Jiankang, Kokkinos, Filippos, Maggioni, Matteo, Chrysos, Grigorios, Torr, Philip, Zafeiriou, Stefanos
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence; November 2023, Vol. 45 Issue: 11 p12726-12737, 12p
Autor:
Babiloni, Francesca, Rossi, Dario, Cherubino, Patrizia, Trettel, Arianna, Picconi, Daniela, Maglione, Anton Giulio, Vecchiato, Giovanni, de Vico Fallani, Fabrizio, Chavez, Mario, Babiloni, Fabio
Publikováno v:
2015 37th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC); 2015, p7990-7993, 4p
Autor:
Babiloni, Francesca, Rossi, Dario, Cherubino, Patrizia, Trettel, Arianna, Picconi, Daniela, Maglione, Anton Giulio, Vecchiato, Giovanni, Babiloni, Fabio
Publikováno v:
Cryptographic Hardware & Embedded Systems -- CHES 2015; 2015, p21-32, 12p