Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Yousaf, Muhammad Haroon"'
Autor:
Saeed, Muhammad Saad, Nawaz, Shah, Tahir, Muhammad Salman, Das, Rohan Kumar, Zaheer, Muhammad Zaigham, Moscati, Marta, Schedl, Markus, Khan, Muhammad Haris, Nandakumar, Karthik, Yousaf, Muhammad Haroon
The advancements of technology have led to the use of multimodal systems in various real-world applications. Among them, the audio-visual systems are one of the widely used multimodal systems. In the recent years, associating face and voice of a pers
Externí odkaz:
http://arxiv.org/abs/2404.09342
Autor:
Ahmad, Chauhdary Fazeel, Cheema, Abdullah, Qayyum, Waqas, Ehtisham, Rana, Yousaf, Muhammad Haroon, Mir, Junaid, Mahmoudabadi, Nasim Shakouri, Ahmad, Afaq
Potholes are fatal and can cause severe damage to vehicles as well as can cause deadly accidents. In South Asian countries, pavement distresses are the primary cause due to poor subgrade conditions, lack of subsurface drainage, and excessive rainfall
Externí odkaz:
http://arxiv.org/abs/2309.17426
Autor:
Saeed, Muhammad Saad, Nawaz, Shah, Khan, Muhammad Haris, Zaheer, Muhammad Zaigham, Nandakumar, Karthik, Yousaf, Muhammad Haroon, Mahmood, Arif
With the rapid growth of social media platforms, users are sharing billions of multimedia posts containing audio, images, and text. Researchers have focused on building autonomous systems capable of processing such multimedia data to solve challengin
Externí odkaz:
http://arxiv.org/abs/2303.06129
In recent years, an association is established between faces and voices of celebrities leveraging large scale audio-visual information from YouTube. The availability of large scale audio-visual datasets is instrumental in developing speaker recogniti
Externí odkaz:
http://arxiv.org/abs/2302.13033
Autor:
Saeed, Muhammad Saad, Nawaz, Shah, Khan, Muhammad Haris, Javed, Sajid, Yousaf, Muhammad Haroon, Del Bue, Alessio
Recent years have seen an increased interest in establishing association between faces and voices of celebrities leveraging audio-visual information from YouTube. Prior works adopt metric learning methods to learn an embedding space that is amenable
Externí odkaz:
http://arxiv.org/abs/2208.10238
Autor:
Saeed, Muhammad Saad, Khan, Muhammad Haris, Nawaz, Shah, Yousaf, Muhammad Haroon, Del Bue, Alessio
We study the problem of learning association between face and voice, which is gaining interest in the computer vision community lately. Prior works adopt pairwise or triplet loss formulations to learn an embedding space amenable for associated matchi
Externí odkaz:
http://arxiv.org/abs/2112.10483
Autor:
Saeed, Muhammad Saad, Nawaz, Shah, Morerio, Pietro, Mahmood, Arif, Gallo, Ignazio, Yousaf, Muhammad Haroon, Del Bue, Alessio
Recent years have seen a surge in finding association between faces and voices within a cross-modal biometric application along with speaker recognition. Inspired from this, we introduce a challenging task in establishing association between faces an
Externí odkaz:
http://arxiv.org/abs/2004.13780
Publikováno v:
In Engineering Applications of Artificial Intelligence March 2023 119
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.