Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Shibao Zheng"'
Publikováno v:
IEEE Access, Vol 8, Pp 129975-129991 (2020)
Blind image deblurring, composed of estimating blur kernel and non-blind deconvolution, is an extremely ill-posed problem. However, previous deblurring methods still cannot solve delta kernel or noise problem well and avoid ringing artifacts in resto
Externí odkaz:
https://doaj.org/article/d1fc2740e0ce433280f49a04982e45a3
Publikováno v:
IEEE Access, Vol 7, Pp 114310-114319 (2019)
Video based person re-identification aims to associate video clips with the same identity by designing discriminative and representative features. Existing approaches simply compute representations for video clips via frame-level or region-level feat
Externí odkaz:
https://doaj.org/article/13033e05ca74495fbda383bbb64f3b47
Publikováno v:
IEEE Access, Vol 6, Pp 77568-77580 (2018)
Recognizing or retrieve a face based on its sketch-photo similarity has important applications in law enforcement and public security. While many existing methods focus on recognizing facial sketch from image-based queries, this setting has the major
Externí odkaz:
https://doaj.org/article/ad825d5a74414976a87b0253497c5420
Publikováno v:
Sensors, Vol 14, Iss 2, Pp 3130-3155 (2014)
To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT) is presented. In our framework, a discriminative dictionary combini
Externí odkaz:
https://doaj.org/article/4b85eaa3051e4850b37ee3e39b36b3be
Publikováno v:
Sensors, Vol 13, Iss 10, Pp 13685-13707 (2013)
In this report, we propose a novel framework to explore the activity interactions and temporal dependencies between activities in complex video surveillance scenes. Under our framework, a low-level codebook is generated by an adaptive quantization wi
Externí odkaz:
https://doaj.org/article/9b76894268f243d98afd079cad1c4c72
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2014 (2014)
The topology inference is the study of spatial and temporal relationships among cameras within a video surveillance network. We propose a novel approach to understand activities based on the visual coverage of a video surveillance network. In our app
Externí odkaz:
https://doaj.org/article/ea929c45f7b1420fb7de509e8f09c25a
Publikováno v:
Neurocomputing. 483:210-220
Publikováno v:
Neurocomputing. 483:116-126
Modern object detectors are vulnerable to adversarial examples, which may bring risks to real-world applications. The sparse attack is an important task which, compared with the popular adversarial perturbation on the whole image, needs to select the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d3f70f6eb9054320605eecda3408b42
Publikováno v:
Neurocomputing. 465:184-194
In person search task, it is hard to retrieve the query persons undergoing large visual changes. To tackle this problem, we propose to exploit the context information to rectify the original individual similarity for better retrieval. To this end, we