Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Wuzhen Shi"'
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 5, Pp 396-407 (2024)
Background: Co-salient object detection (Co-SOD) aims to identify and segment commonly salient objects in a set of related images. However, most current Co-SOD methods encounter issues with the inclusion of irrelevant information in the co-representa
Externí odkaz:
https://doaj.org/article/f7288b9828e84e50b761d2e35b05ca14
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-12 (2018)
Abstract Real-time image and video processing is a challenging problem in smart surveillance applications. It is necessary to trade off between high frame rate and high resolution to meet the limited bandwidth requirement in many specific application
Externí odkaz:
https://doaj.org/article/aa142ff1751a40a6b11b437a0861b6d9
Publikováno v:
IET Computer Vision, Vol 8, Iss 2, Pp 118-130 (2014)
Multiple instance learning (MIL) tracker becomes recently very popular because of their great success in complex scenes. Dynamically reflecting the appearance changes of the tracked object, the appearance updating plays an important role on tracking.
Externí odkaz:
https://doaj.org/article/951b14cb9c0a43b082feca7a8a821a3a
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70154e88bb313ec8115af15e7033a58a
https://doi.org/10.1109/tii.2022.3229140
https://doi.org/10.1109/tii.2022.3229140
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa51dc41c30ae50bbb9540e481a607f1
https://doi.org/10.1109/tim.2023.3246523
https://doi.org/10.1109/tim.2023.3246523
Autor:
Wuzhen Shi, Shaohui Liu
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-15
Training an image steganography is an unsupervised problem, because it is impossible to obtain an ideal supervised steganographic image corresponding to the cover image and secret message. Inspired by the success of cycle generative adversarial netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7422525486a579388eed7c123e39cf2
https://doi.org/10.1145/3495566
https://doi.org/10.1145/3495566
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-25
Video watermarking technology has attracted increasing attention in the past few years, and a great deal of traditional and deep learning-based methods have been proposed. However, these existing methods usually suffer from the following two challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12a4866340d556c7cd5471d0089bf706
https://doi.org/10.1145/3503160
https://doi.org/10.1145/3503160
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:425-438
Recently, a few image compressed sensing (CS) methods based on deep learning have been developed, which achieve remarkable reconstruction quality with low computational complexity. However, these existing deep learning-based image CS methods focus on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a854a4cd377ac9338f57b5596d318338
https://doi.org/10.1109/tcsvt.2020.2978703
https://doi.org/10.1109/tcsvt.2020.2978703
Autor:
Wu Yang, Wuzhen Shi
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9476956a39f40d0e82b7463226294b99
https://doi.org/10.1109/icassp43922.2022.9747655
https://doi.org/10.1109/icassp43922.2022.9747655
Autor:
Donghao Gu, Feng Jiang, Yaowei Li, Zhaojing Wen, Guangming Lu, Changsheng Zhou, Shaohui Liu, Wuzhen Shi
Publikováno v:
IEEE Transactions on Multimedia. 22:1720-1729
Recently, due to the black box characteristics of deep learning techniques, the deep network-based computer-aided diagnosis (CADx) systems have encountered many difficulties in practical applications. The crux of the problem is that these models shou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2101becd95113442c8cbf3ef746b45be
https://doi.org/10.1109/tmm.2020.2971170
https://doi.org/10.1109/tmm.2020.2971170