Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Duantengchuan Li"'
Autor:
Wanli Zhao, Shutong Wang, Xiaoguang Wang, Duantengchuan Li, Jing Wang, Chenghang Lai, Xiaoxue Li
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101869- (2024)
Head pose estimation plays a pivotal role in various applications, including augmented reality and human–computer interaction within intelligent museum environments. Head pose estimation conventionally relies on hard labels. However, acquiring the
Externí odkaz:
https://doaj.org/article/6b8458be25a04cdeb4aab60113d1eee9
Autor:
Shutong Wang, Anran Zhao, Chenghang Lai, Qi Zhang, Duantengchuan Li, Yihua Gao, Liangshan Dong, Xiaoguang Wang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 7, Pp 101605- (2023)
Facial expression recognition (FER) task in the wild is challenging due to some uncertainties, such as the ambiguity of facial expressions, subjective annotations, and low-quality facial images. A novel model for FER in-the-wild datasets is proposed
Externí odkaz:
https://doaj.org/article/9bc5cbba8b5c4163a20e2b9a0fe77a5e
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d2f5f3526f34c0594ae1b9514d0e2c
https://doi.org/10.1109/tnnls.2023.3262956
https://doi.org/10.1109/tnnls.2023.3262956
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41166996aa5b642c6ca5e9bfb065f5ea
https://doi.org/10.1109/tiv.2023.3273857
https://doi.org/10.1109/tiv.2023.3273857
Autor:
Jiazhang Wang, Zhaoli Zhang, Chao Zheng, Xiaoxuan Shen, Hai Liu, Duantengchuan Li, Zhen Zhang, Neal N. Xiong, Ke Lin
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:4361-4371
Recommendation accuracy is a fundamental problem in the quality of the recommendation system. In this paper, we propose an efficient deep matrix factorization with review feature learning for the industrial recommender system (EDMF). Two characterist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bea168576ab2645cba2f3a4ccb552ed
https://doi.org/10.1109/tii.2021.3128240
https://doi.org/10.1109/tii.2021.3128240
Publikováno v:
Future Generation Computer Systems. 130:231-240
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14ed6f84cd222119fbe3016a5ad7c357
https://doi.org/10.1016/j.future.2021.12.020
https://doi.org/10.1016/j.future.2021.12.020
Publikováno v:
IEEE Transactions on Multimedia. 24:2449-2460
Head pose estimation suffers from several problems, including low pose tolerance under different disturbances and ambiguity arising from common head pose representation. In this study, a robust three-branch model with triplet module and matrix Fisher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad380496f754d45656635ae3ad6f462b
https://doi.org/10.1109/tmm.2021.3081873
https://doi.org/10.1109/tmm.2021.3081873
Autor:
Hai Liu, Duantengchuan Li, Ke Lin, Jiazhang Wang, Zhaoli Zhang, Neal N. Xiong, Chao Zheng, Xiaoxuan Shen
Publikováno v:
Neurocomputing. 468:469-481
Social recommender systems (SRS) aim to study how social relations influence users’ choices and how to use them for better learning users embeddings. However, the diversity of social relationships, which is instructive to the propagation of social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8e85ae249bbff8aa38649bf6f52ce24
https://doi.org/10.1016/j.neucom.2021.10.050
https://doi.org/10.1016/j.neucom.2021.10.050
Publikováno v:
Neurocomputing. 455:283-296
The recommendation systems in the online platforms often suffer from the rating data sparseness and information overload issues. Previous studies on this topic often leverage review information to construct an accurate user/item latent factor. To add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::198abee82cd8dd9c030cbe288ba3be33
https://doi.org/10.1016/j.neucom.2021.03.122
https://doi.org/10.1016/j.neucom.2021.03.122
Publikováno v:
Information Processing & Management. 60:103348
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::037f1dd987f6c6e6a5bdacc9183083df
https://doi.org/10.1016/j.ipm.2023.103348
https://doi.org/10.1016/j.ipm.2023.103348