Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiangzhou Ye"'
Publikováno v:
IET Image Processing, Vol 17, Iss 8, Pp 2537-2546 (2023)
Abstract Most existing Siamese Network trackers rely on a predefined anchor box to predict object position. However, they require complicated hyperparameter settings. The authors directly forecast the object boundary by using the fully convolutional
Externí odkaz:
https://doaj.org/article/fa9ce31537ad4adc987e9eb36ba6b556
Publikováno v:
Sensors, Vol 24, Iss 1, p 20 (2023)
In the field of image fusion, the integration of infrared and visible images aims to combine complementary features into a unified representation. However, not all regions within an image bear equal importance. Target objects, often pivotal in subseq
Externí odkaz:
https://doaj.org/article/1bb81f7520364e3187a88cf6710e760e
Publikováno v:
Sensors, Vol 23, Iss 15, p 6966 (2023)
The features of measurement and process noise are directly related to the optimal performance of the cubature Kalman filter. The maneuvering target model’s high level of uncertainty and non-Gaussian mean noise are typical issues that the radar trac
Externí odkaz:
https://doaj.org/article/5ef2d8fedf0a4fbe9a071d1be4101f90
Autor:
A.K. Gupta, Xiangzhou Ye
Publikováno v:
ICC
Supporting a wide range of QoS requirements is becoming increasingly important in packet-switching networks. Many packet scheduling algorithms have been proposed in the literature to provide a hard end-to-end delay bound along a network path. However
Autor:
Xiangzhou Ye, Gupta, A.K.
Publikováno v:
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240); 2001, p659-659, 1p