Zobrazeno 1 - 10
of 907 417
pro vyhledávání: '"Clips"'
Autor:
Anselmi, Leonardo1,2 (AUTHOR) leonardo.anselmi@humanitas.it, Anania, Carla Daniela1 (AUTHOR) carla.anania@yahoo.it, Ubezio, Maria Cleofe2 (AUTHOR), Farinaro, Generoso1,2 (AUTHOR) donato.creatura@humanitas.it, Creatura, Donato1,2 (AUTHOR) alessandro.ortolina@humanitas.it, Ortolina, Alessandro1 (AUTHOR) massimo.tomei@humanitas.it, Tomei, Massimo1 (AUTHOR) ali.baram@humanitas.it, Baram, Ali1 (AUTHOR) maurizio.fornari@humanitas.it, Fornari, Maurizio1 (AUTHOR)
Publikováno v:
Brain Sciences (2076-3425). Dec2024, Vol. 14 Issue 12, p1223. 7p.
Autor:
Bohacek, Matyas, Farid, Hany
Full-blown AI-generated video generation continues its journey through the uncanny valley to produce content that is perceptually indistinguishable from reality. Intermixed with many exciting and creative applications are malicious applications that
Externí odkaz:
http://arxiv.org/abs/2412.00526
Previous works show that noisy, web-crawled image-text pairs may limit vision-language pretraining like CLIP and propose learning with synthetic captions as a promising alternative. Our work continues this effort, introducing two simple yet effective
Externí odkaz:
http://arxiv.org/abs/2411.16828
Autor:
Solberg, Håkon Maric, Sarkhoosh, Mehdi Houshmand, Gautam, Sushant, Sabet, Saeed Shafiee, Halvorsen, Pål, Midoglu, Cise
In the rapidly evolving field of sports analytics, the automation of targeted video processing is a pivotal advancement. We propose PlayerTV, an innovative framework which harnesses state-of-the-art AI technologies for automatic player tracking and i
Externí odkaz:
http://arxiv.org/abs/2407.16076