Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mingliang Zhai"'
Publikováno v:
IET Computer Vision, Vol 18, Iss 2, Pp 210-223 (2024)
Abstract Recently, online optimisation‐based scene flow estimation has attracted significant attention due to its strong domain adaptivity. Although online optimisation‐based methods have made significant advances, the performance is far from sat
Externí odkaz:
https://doaj.org/article/176df197ad944b508506a4aeaf3abea2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12706-12719 (2024)
The complex background and coherent speckle noise in synthetic aperture radar (SAR) images presents a significant challenge for the detection and recognition of SAR small targets. For deep neural networks, the robust feature learning method and effec
Externí odkaz:
https://doaj.org/article/61a499e0747a4239b8b18287e2eee605
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1900-1913 (2023)
The feature learning strategy of convolutional neural networks learns the deep spatial features from high-resolution (HR) synthetic aperture radar (SAR) images while ignoring the speckle noise based on the SAR imaging mechanism. In the feature learni
Externí odkaz:
https://doaj.org/article/3c4619b394824982905c2c1eb0664aff
Publikováno v:
IEEE Access, Vol 7, Pp 98854-98865 (2019)
Leveraging on the recent developments in convolutional neural networks (CNNs), optical flow estimation from adjacent frames has been cast as a learning problem, with performance exceeding traditional approaches. The existing networks always use stand
Externí odkaz:
https://doaj.org/article/46f253f872ce401fa4a1bde5402e37e7
Publikováno v:
IEEE Access, Vol 6, Pp 43222-43232 (2018)
Traditional methods for estimating optical flow use variational model that includes data term and smoothness term, which can build a constraint relationship between two adjacent images and optical flow. However, most of them are too slow to be used i
Externí odkaz:
https://doaj.org/article/0ee79424cdd74ce1988837d98fd167aa
Publikováno v:
IEEE Access, Vol 6, Pp 30012-30023 (2018)
In this paper, we present a novel method to estimate the dense scene flow from the aligned depth map and color image using variational framework. For scene flow estimation, most scenes can be seen as scenes composed by independent 3-D rigid parts, so
Externí odkaz:
https://doaj.org/article/f671f8edf78349848d18f72a9f1041d9
Publikováno v:
Sensors, Vol 18, Iss 8, p 2560 (2018)
Vehicle counting from an unmanned aerial vehicle (UAV) is becoming a popular research topic in traffic monitoring. Camera mounted on UAV can be regarded as a visual sensor for collecting aerial videos. Compared with traditional sensors, the UAV can b
Externí odkaz:
https://doaj.org/article/426a5e61a0db46ffa81e6551891a19ec
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).