Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zeqiang Wei"'
Publikováno v:
IEEE Access, Vol 7, Pp 100029-100035 (2019)
Given a pair of facial images, it is an interesting yet challenging problem to determine if there is a kin relation between them. Recent research on that topic has made encouraging progress by learning a kin similarity metric from kinship data. Howev
Externí odkaz:
https://doaj.org/article/e2438069f53e4e6cb1b144b8bff609a5
Publikováno v:
IEEE Transactions on Affective Computing. 13:1605-1618
While existing prediction models built on popular deep architectures have shown promising results in facial depression recognition, they still lack sufficient discriminative power due to the issues of 1) limited amount of labeled depression data for
Autor:
Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872397
MICCAI (5)
MICCAI (5)
Content-based image retrieval (CBIR) has attracted increasing attention in the field of computer-aided diagnosis, for which learning-based hashing approaches represent the most prominent techniques for large-scale image retrieval. In this work, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158817e998d274498b292f948092df46
https://doi.org/10.1007/978-3-030-87240-3_20
https://doi.org/10.1007/978-3-030-87240-3_20
Publikováno v:
IEEE Access, Vol 7, Pp 100029-100035 (2019)
Given a pair of facial images, it is an interesting yet challenging problem to determine if there is a kin relation between them. Recent research on that topic has made encouraging progress by learning a kin similarity metric from kinship data. Howev
Publikováno v:
SSCI
This paper focuses on the study of engagement recognition of online courses from students’ appearance and behavioral information using deep learning methods. Automatic engagement recognition can be applied to developing effective online instruction
Publikováno v:
ICME
While encouraging results have been made so far to advance kinship verification by using facial images, learning a robust genetic similarity measure remains challenging, especially in the setting of general kinship verification, wherein the gender la
Publikováno v:
Biometric Recognition ISBN: 9783319699226
CCBR
CCBR
In this paper, we propose a novel approach to robust person tracking that combines an online bilinear similarity metric learning with a local appearance model in particle filter framework. Due to various appearance and motion changes of the target pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef681ca51655aebac0ee1320a4a77eb
https://doi.org/10.1007/978-3-319-69923-3_66
https://doi.org/10.1007/978-3-319-69923-3_66
Publikováno v:
IEEE Transactions on Affective Computing; Jul-Sep2022, Vol. 13 Issue 3, p1605-1618, 14p