Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Linpu Fang"'
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:1550-1562
In recent years, biometrics have received considerable attention for its reliability and usability. Dynamic-hand-gesture is one of the representative biometric modalities, with advantages of safety and template-replaceability, has huge potential valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d78c1f31e175e6217537058761ad883
https://doi.org/10.1109/tifs.2020.3036218
https://doi.org/10.1109/tifs.2020.3036218
Publikováno v:
Biometric Recognition ISBN: 9783031202322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551f75c577b9718e3ec8c46ae3c3c476
https://doi.org/10.1007/978-3-031-20233-9_24
https://doi.org/10.1007/978-3-031-20233-9_24
Publikováno v:
IJCB
Hand gesture is a new emerging biometric trait containing both physiological and behavioral characteristics. With the popularity of various cameras, and the rich identity features and contactless authentication mode embedded in gestures themselves, v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e59cbcfbcbcd4712a8035badb28a86
https://doi.org/10.1109/ijcb52358.2021.9484390
https://doi.org/10.1109/ijcb52358.2021.9484390
Publikováno v:
AAAI
The dominant object detection approaches treat each dataset separately and fit towards a specific domain, which cannot adapt to other domains without extensive retraining. In this paper, we address the problem of designing a universal object detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15828dfbf14515a4c7824fffd6793b4d
http://arxiv.org/abs/2002.07417
http://arxiv.org/abs/2002.07417
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
Replacing normal convolutions with group convolutions can significantly increase the computational efficiency of modern deep convolutional networks, which has been widely adopted in compact network architecture designs. However, existing group convol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e715273c00fb60f0315ae9852b6ccfc
https://doi.org/10.1007/978-3-030-58539-6_9
https://doi.org/10.1007/978-3-030-58539-6_9
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
State-of-the-art single depth image-based 3D hand pose estimation methods are based on dense predictions, including voxel-to-voxel predictions, point-to-point regression, and pixel-wise estimations. Despite the good performance, those methods have a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38f422f76aa50a0366881f4d4c7c0d92
https://doi.org/10.1007/978-3-030-58539-6_8
https://doi.org/10.1007/978-3-030-58539-6_8
Publikováno v:
AAAI
Object detectors trained on fully-annotated data currently yield state of the art performance but require expensive manual annotations. On the other hand, weakly-supervised detectors have much lower performance and cannot be used reliably in a realis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9886a593980077d4ea85d4d96fdbef6b
Publikováno v:
Biometric Recognition ISBN: 9783030314552
CCBR
CCBR
Due to biometric immutability, an authentication system that depends on irrevocable biometric data (faces and fingerprints) is vulnerable to vicious attacks. Gestures, as short actions that contain static and dynamic behavioral information, are gradu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d99638638b527c218cbc91f25bdafd
https://doi.org/10.1007/978-3-030-31456-9_11
https://doi.org/10.1007/978-3-030-31456-9_11
Publikováno v:
Signal Processing: Image Communication. 82:115729
Hand posture recognition (HPR), one of the most effective and intuitive human computer interfaces, has been extensively studied and widely adopted in various multimedia applications. Shape descriptors extracted from a hand contour or silhouette have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e78dab116e538ec3e67b005e8dafb4f
https://doi.org/10.1016/j.image.2019.115729
https://doi.org/10.1016/j.image.2019.115729
Autor:
Fang, Linpu1 (AUTHOR), Wu, Guile1 (AUTHOR), Kang, Wenxiong1 (AUTHOR) auwxkang@scut.edu.cn, Wu, Qiuxia2 (AUTHOR), Wang, Zhiyong3 (AUTHOR), Feng, David Dagan3 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Dec2019, Vol. 31 Issue 12, p8533-8546. 14p.