Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Wang, Guan'an"'
The denoising model has been proven a powerful generative model but has little exploration of discriminative tasks. Representation learning is important in discriminative tasks, which is defined as "learning representations (or features) of the data
Externí odkaz:
http://arxiv.org/abs/2406.08773
Existing works have made strides in video generation, but the lack of sound effects (SFX) and background music (BGM) hinders a complete and immersive viewer experience. We introduce a novel semantically consistent v ideo-to-audio generation framework
Externí odkaz:
http://arxiv.org/abs/2404.16305
Publikováno v:
In Neural Networks December 2024 180
Autor:
Fan, Chen-Chen, Xie, Haiqun, Peng, Liang, Yang, Hongjun, Ni, Zhen-Liang, Wang, Guan'an, Zhou, Yan-Jie, Chen, Sheng, Fang, Zhijie, Huang, Shuyun, Hou, Zeng-Guang
Medical diagnostic robot systems have been paid more and more attention due to its objectivity and accuracy. The diagnosis of mild cognitive impairment (MCI) is considered an effective means to prevent Alzheimer's disease (AD). Doctors diagnose MCI b
Externí odkaz:
http://arxiv.org/abs/2105.06270
Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming distance and counting sort. Howe
Externí odkaz:
http://arxiv.org/abs/2008.06826
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Autor:
Wang, Guan'an, Yang, Shuo, Liu, Huanyu, Wang, Zhicheng, Yang, Yang, Wang, Shuliang, Yu, Gang, Zhou, Erjin, Sun, Jian
Occluded person re-identification (ReID) aims to match occluded person images to holistic ones across dis-joint cameras. In this paper, we propose a novel framework by learning high-order relation and topology information for discriminative features
Externí odkaz:
http://arxiv.org/abs/2003.08177
RGB-Infrared (IR) person re-identification is an important and challenging task due to large cross-modality variations between RGB and IR images. Most conventional approaches aim to bridge the cross-modality gap with feature alignment by feature repr
Externí odkaz:
http://arxiv.org/abs/1910.05839
Akademický článek
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Autor:
Wang, Guan’an, Yang, Yang, Zhang, Tianzhu, Cheng, Jian, Hou, Zengguang, Tiwari, Prayag, Pandey, Hari Mohan
Publikováno v:
In Neural Networks August 2020 128:294-304
Autor:
Yin, Qingze1 (AUTHOR) qingzeyin@njust.edu.cn, Wang, Guan'an2 (AUTHOR) guan.wang0706@gmail.com, Wu, Jinlin2 (AUTHOR) wjluestc@gmail.com, Luo, Haonan1 (AUTHOR) lhn@njust.edu.cn, Tang, Zhenmin1 (AUTHOR) tzm.cs@njust.edu.cn
Publikováno v:
Mathematics (2227-7390). May2022, Vol. 10 Issue 10, p1654-1654. 17p.