Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Fang, Gengfa"'
Healthcare monitoring is crucial, especially for the daily care of elderly individuals living alone. It can detect dangerous occurrences, such as falls, and provide timely alerts to save lives. Non-invasive millimeter wave (mmWave) radar-based health
Externí odkaz:
http://arxiv.org/abs/2405.01882
Publikováno v:
The 16th International Symposium on Computer Music Multidisciplinary Research,2023
Existing research on music recommendation systems primarily focuses on recommending similar music, thereby often neglecting diverse and distinctive musical recordings. Musical outliers can provide valuable insights due to the inherent diversity of mu
Externí odkaz:
http://arxiv.org/abs/2404.06103
In this work, we propose a new Dual Min-Max Games (DMMG) based self-supervised skeleton action recognition method by augmenting unlabeled data in a contrastive learning framework. Our DMMG consists of a viewpoint variation min-max game and an edge pe
Externí odkaz:
http://arxiv.org/abs/2302.12007
The high feature dimensionality is a challenge in music emotion recognition. There is no common consensus on a relation between audio features and emotion. The MER system uses all available features to recognize emotion; however, this is not an optim
Externí odkaz:
http://arxiv.org/abs/2212.13369
Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs. However, such methods are limited in two ways: a) the handcrafted action features are
Externí odkaz:
http://arxiv.org/abs/2208.03444
3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen pose
Externí odkaz:
http://arxiv.org/abs/2207.03618
Autor:
Chen, Fang, Fang, Gengfa
Publikováno v:
In Energy Reports June 2024 11:3614-3623
Autor:
Ye, Qianwen, Fan, Xiaochen, Fang, Gengfa, Bie, Hongxia, Xiang, Chaocan, Song, Xudong, He, Xiangjian
With the unprecedented demand for location-based services in indoor scenarios, wireless indoor localization has become essential for mobile users. While GPS is not available at indoor spaces, WiFi RSS fingerprinting has become popular with its ubiqui
Externí odkaz:
http://arxiv.org/abs/2009.05780
Publikováno v:
In Computer Vision and Image Understanding August 2023 233
Autor:
Lu, Xiaoyang, Lin, Yaohai, Lin, Peijie, He, Xiangjian, Fang, Gengfa, Cheng, Shuying, Chen, Zhicong, Wu, Lijun
Publikováno v:
In Solar Energy 15 March 2023 253:360-374