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of 80
pro vyhledávání: '"Wang, Hongsong"'
3D face alignment is a very challenging and fundamental problem in computer vision. Existing deep learning-based methods manually design different networks to regress either parameters of a 3D face model or 3D positions of face vertices. However, des
Externí odkaz:
http://arxiv.org/abs/2406.07873
Dance plays an important role as an artistic form and expression in human culture, yet the creation of dance remains a challenging task. Most dance generation methods primarily rely solely on music, seldom taking into consideration intrinsic attribut
Externí odkaz:
http://arxiv.org/abs/2406.07871
Federated learning shows promise as a privacy-preserving collaborative learning technique. Existing heterogeneous federated learning mainly focuses on skewing the label distribution across clients. However, most approaches suffer from catastrophic fo
Externí odkaz:
http://arxiv.org/abs/2312.09881
Autor:
Wang, Hongsong, Zhang, Yuqi
Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades. However, most existing approaches rely on textual and metadata information of the patent, an
Externí odkaz:
http://arxiv.org/abs/2308.13749
Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity. After obtaining retrieved examples, re-ranking is a widely adopted post-
Externí odkaz:
http://arxiv.org/abs/2306.08792
Autor:
Liu, Chong, Zhang, Yuqi, Wang, Hongsong, Chen, Weihua, Wang, Fan, Huang, Yan, Shen, Yi-Dong, Wang, Liang
Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Most previous works either simply learn coarse-grained representations o
Externí odkaz:
http://arxiv.org/abs/2306.08789
Publikováno v:
In Pattern Recognition September 2024 153
Unsupervised domain adaptation for object detection is a challenging problem with many real-world applications. Unfortunately, it has received much less attention than supervised object detection. Models that try to address this task tend to suffer f
Externí odkaz:
http://arxiv.org/abs/2106.05499
Autor:
Wang, Hongsong, Feng, Jiashi
Action anticipation, which aims to recognize the action with a partial observation, becomes increasingly popular due to a wide range of applications. In this paper, we investigate the problem of 3D action anticipation from streaming videos with the t
Externí odkaz:
http://arxiv.org/abs/1906.06521
Human motion prediction, which aims to predict future human poses given past poses, has recently seen increased interest. Many recent approaches are based on Recurrent Neural Networks (RNN) which model human poses with exponential maps. These approac
Externí odkaz:
http://arxiv.org/abs/1906.06514