Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Baugh, Gary"'
Autor:
Qi, Charles, Wang, Yi, Wang, Hui, Lu, Yang, Subramanian, Shiva Shankar, Cahill, Finola, Tuohy, Conall, Li, Victor, Qian, Xu, Crews, Darren, Wang, Ling, Roy, Shivaji, Deidda, Andrea, Power, Martin, Hanrahan, Niall, Richmond, Rick, Cheema, Umer, Raha, Arnab, Palla, Alessandro, Baugh, Gary, Mathaikutty, Deepak
State-of-art NPUs are typically architected as a self-contained sub-system with multiple heterogeneous hardware computing modules, and a dataflow-driven programming model. There lacks well-established methodology and tools in the industry to evaluate
Externí odkaz:
http://arxiv.org/abs/2303.10271
Autor:
Moloney, David, Pena, Dexmont, Dunne, Aubrey, Dehghani, Alireza, Baugh, Gary, Caulfield, Sam, Lee, Kevin, Xu, Xiaofan, Müller, Maximilian, Gastaud, Remi, Vesa, Ovidiu, Deniz Suarez, Oscar, Espinosa Aranda, José Luis, Vallez Enano, Noelia
Publikováno v:
Robotics: Science and Systems, Workshop Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics (RSS)
This paper describes the development of a low-cost, low-power visual-intelligence and robotics platform based on the H2020 EoT (Eyes of Things platform) and the Movidius Myriad2 VPU (Vision Processing Unit), associated machine vision, communications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc417bc70b3448c9dd99280662df5401
https://doi.org/10.5281/zenodo.56226
https://doi.org/10.5281/zenodo.56226
Autor:
BAUGH, GARY, KOKARAM, ANIL CHRISTOPHER
PUBLISHED
San Diego, California, USA
San Diego, California, USA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::05a3da3a4348552f1e26a8e7990b15e2
http://hdl.handle.net/2262/27640
http://hdl.handle.net/2262/27640
PUBLISHED
Kildare, Ireland
This paper describes initial work on a framework for automatic detection of illegal dumping from CCTV footage from recycle centres. Frames are seperated into foreground and background regions using a Bayesian appr
Kildare, Ireland
This paper describes initial work on a framework for automatic detection of illegal dumping from CCTV footage from recycle centres. Frames are seperated into foreground and background regions using a Bayesian appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______883::2b14bdb4aa48f9941665623f1ef4f0d2
http://hdl.handle.net/2262/19799
http://hdl.handle.net/2262/19799
Publikováno v:
ACM International Conference Proceeding Series; Nov2014, p1-10, 10p
Publikováno v:
2012 Oceans - Yeosu; 1/ 1/2012, p1-7, 7p