Zobrazeno 1 - 10
of 1 925
pro vyhledávání: '"Yuan, Yan P"'
Autor:
Cong, Xiaofeng, Zhang, Jing, Jin, Yeying, Hou, Junming, Zhao, Yu, Gui, Jie, Kwok, James Tin-Yau, Tang, Yuan Yan
Underwater images often suffer from quality degradation due to absorption and scattering effects. Most existing underwater image enhancement algorithms produce a single, fixed-color image, limiting user flexibility and application. To address this li
Externí odkaz:
http://arxiv.org/abs/2409.19685
Autor:
Jiang, Chengze, Wang, Junkai, Dong, Minjing, Gui, Jie, Shi, Xinli, Cao, Yuan, Tang, Yuan Yan, Kwok, James Tin-Yau
Adversarial training has achieved remarkable advancements in defending against adversarial attacks. Among them, fast adversarial training (FAT) is gaining attention for its ability to achieve competitive robustness with fewer computing resources. Exi
Externí odkaz:
http://arxiv.org/abs/2409.17589
Publikováno v:
in IEEE Transactions on Information Forensics and Security, vol. 19, pp. 7810-7823, 2024
Finger vein recognition technology has become one of the primary solutions for high-security identification systems. However, it still has information leakage problems, which seriously jeopardizes users privacy and anonymity and cause great security
Externí odkaz:
http://arxiv.org/abs/2409.14774
Autor:
Zhai, Siyu, He, Zhibo, Cong, Xiaofeng, Hou, Junming, Gui, Jie, You, Jian Wei, Gong, Xin, Kwok, James Tin-Yau, Tang, Yuan Yan
Learning-based methods for underwater image enhancement (UWIE) have undergone extensive exploration. However, learning-based models are usually vulnerable to adversarial examples so as the UWIE models. To the best of our knowledge, there is no compre
Externí odkaz:
http://arxiv.org/abs/2409.06420
While adversarial training is an effective defense method against adversarial attacks, it notably increases the training cost. To this end, fast adversarial training (FAT) is presented for efficient training and has become a hot research topic. Howev
Externí odkaz:
http://arxiv.org/abs/2408.03944
Radiology report analysis provides valuable information that can aid with public health initiatives, and has been attracting increasing attention from the research community. In this work, we present a novel insight that the structure of a radiology
Externí odkaz:
http://arxiv.org/abs/2406.05995
Previous approaches for blind image super-resolution (SR) have relied on degradation estimation to restore high-resolution (HR) images from their low-resolution (LR) counterparts. However, accurate degradation estimation poses significant challenges.
Externí odkaz:
http://arxiv.org/abs/2403.07390
The hydroxyl-terminated self-assembled monolayer (OH-SAM), as a surface resistant to protein adsorption, exhibits substantial potential in applications such as ship navigation and medical implants, and the appropriate strategies for designing anti-fo
Externí odkaz:
http://arxiv.org/abs/2401.02169
Publikováno v:
Linchuang shenzangbing zazhi, Vol 24, Iss 11, Pp 966-969 (2024)
Externí odkaz:
https://doaj.org/article/e4cf10f95c7b482aa89ec0fb5cb98d95
On the one hand, the dehazing task is an illposedness problem, which means that no unique solution exists. On the other hand, the dehazing task should take into account the subjective factor, which is to give the user selectable dehazed images rather
Externí odkaz:
http://arxiv.org/abs/2306.05675