Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Guihe Qin"'
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 337-348 (2023)
Abstract Recently, existing FCNs‐based methods have shown their advantages in processing object boundaries. However, these methods still suffer from false object interference, which appears in saliency predictions. To solve this problem, an edge‐
Externí odkaz:
https://doaj.org/article/18d89f1da00b40f9975197361bcd007b
Publikováno v:
IEEE Access, Vol 7, Pp 85971-85984 (2019)
TTEthernet is a deterministic, congestion-free, and high-bandwidth communication protocol based on the Ethernet standard that provides a powerful network solution for developing safety-critical distributed real-time automotive systems. With the devel
Externí odkaz:
https://doaj.org/article/5bb868c143864c44bd5f32a8de10471b
Publikováno v:
IEEE Access, Vol 7, Pp 185654-185665 (2019)
Video prediction is a meaningful task for it has a wide range of application scenarios. And it is also a challenging task since it needs to learn the internal representation of a given video for both appearance and motion dynamics. The existing metho
Externí odkaz:
https://doaj.org/article/5c534506067449f7a34e1c9bfe7bfe3f
Publikováno v:
Entropy, Vol 17, Iss 12, Pp 7948-7966 (2015)
This paper proposes a novel image watermarking method based on local energy and maximum entropy aiming to improve the robustness. First, the image feature distribution is extracted by employing the local energy model and then it is transformed as a d
Externí odkaz:
https://doaj.org/article/d72c24b1d34144a9bf596ce03c3cd695
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:2426-2436
Publikováno v:
International Journal of Human–Computer Interaction. :1-12
Publikováno v:
IET Image Processing. 17:337-348
Publikováno v:
Neurocomputing. 494:160-170
Publikováno v:
Neurocomputing. 490:132-145
Publikováno v:
Applied Intelligence. 52:16117-16137