Zobrazeno 1 - 10
of 759
pro vyhledávání: '"Weisi LIN"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-9 (2023)
Abstract Adversarial images are able to fool the Deep Neural Network (DNN) based visual identity recognition systems, with the potential to be widely used in online social media for privacy-preserving purposes, especially in edge-cloud computing. How
Externí odkaz:
https://doaj.org/article/c9ff2b3c10a34f5eaebebcff60b628be
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/a2ee3f7b2160446aa5fa6c935c4b84b1
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 708 (2024)
Uncrewed-Aerial Vehicles (UAVs) and hyperspectral sensors are emerging as effective alternatives for monitoring water quality on-demand. However, image mosaicking for largely featureless coastal water surfaces or open seas has shown to be challenging
Externí odkaz:
https://doaj.org/article/afcfbc91a2624b608c2d8faa6b9dff60
Autor:
Kean Hean Ooi, Mengying Mandy Liu, Jie Wen Douglas Tay, Seok Yee Teo, Pornchai Kaewsapsak, Shengyang Jin, Chun Kiat Lee, Jingwen Hou, Sebastian Maurer-Stroh, Weisi Lin, Benedict Yan, Gabriel Yan, Yong-Gui Gao, Meng How Tan
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-23 (2021)
As the COVID-19 pandemic continues, variants of the virus are emerging. Here the authors present a diagnostic assay that can detect wildtype and known variants using engineered Cas12a.
Externí odkaz:
https://doaj.org/article/caf7de7ec01a4742a1eed676b48f380b
Autor:
Weisi Lin, Sanghoon Lee
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 11, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/a78fc11c17f541e09b75b8c5f6527031
Publikováno v:
IEEE Access, Vol 7, Pp 33087-33093 (2019)
After the works on High Efficiency Video Coding (HEVC) standard, the standard organizations continued to study the next generation of video coding standard, named Versatile Video Coding (VVC). The compression capacity of the VVC standard is expected
Externí odkaz:
https://doaj.org/article/4151c1acdee44ba6825e08658efabadf
Publikováno v:
IEEE Access, Vol 7, Pp 179304-179319 (2019)
We propose a generative framework that tackles video frame interpolation. Conventionally, optical flow methods can solve the problem, but the perceptual quality depends on the accuracy of flow estimation. Nevertheless, a merit of traditional methods
Externí odkaz:
https://doaj.org/article/185bd7f255ba44a38a2b6fe8e3f541e3
Publikováno v:
IEEE Access, Vol 6, Pp 28890-28902 (2018)
To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on. Besides detection accuracy, a robust surveillan
Externí odkaz:
https://doaj.org/article/8d374958adfd44179f9887bc5a92120a
Publikováno v:
IEEE Access, Vol 5, Pp 2430-2441 (2017)
Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on. In real visual tr
Externí odkaz:
https://doaj.org/article/64ce8d4febce44e9920387e83f3afe45
Publikováno v:
IEEE Access, Vol 5, Pp 4690-4703 (2017)
Extracting stable features to enhance object representation has proved to be very effective in improving the performance of object tracking. To achieve this, mining techniques, such as K-means clustering and data associating, are often adopted. Howev
Externí odkaz:
https://doaj.org/article/37553870d9514c5fbbd3d155ec90cc98