Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zheyi Fan"'
Publikováno v:
Science China Information Sciences. 66
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4d31204c9a68451e1776ab1e33978e
https://doi.org/10.1007/s11432-022-3628-y
https://doi.org/10.1007/s11432-022-3628-y
Publikováno v:
Applied Intelligence. 52:1376-1388
The task of crowd counting is receiving increased attention recently, but it still faces many challenges, such as extremely dense scene, scale variation and background clutter. The quality of generated density map plays an important role in counting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e405dcedcd403794f2b80ca29e06138
https://doi.org/10.1007/s10489-021-02470-8
https://doi.org/10.1007/s10489-021-02470-8
Publikováno v:
Applied Intelligence. 50:3607-3622
Pedestrian’s attribute information plays an important role in person re-identification (re-ID) for its complementary to pedestrian’s identity labels. However, there are few methods to utilize attribute information, which limits the development of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9e41eba0d75be698aa5cb374c42c0cc
https://doi.org/10.1007/s10489-020-01752-x
https://doi.org/10.1007/s10489-020-01752-x
Publikováno v:
IEEE Signal Processing Letters. 27:1460-1464
Person re-identification (Re-ID) has achieved great improvement with the development of deep learning. However, domain adaptation in unsupervised Re-ID has always been a challenging task. Most existing works based on clustering only cluster once, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e7b3b07818883a70fea1313ac86ac3
https://doi.org/10.1109/lsp.2020.3016528
https://doi.org/10.1109/lsp.2020.3016528
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9196123139297038621064f66c99274d
https://doi.org/10.2139/ssrn.4227746
https://doi.org/10.2139/ssrn.4227746
Publikováno v:
Applied Intelligence. 50:1073-1085
High quality crowd density maps preserve a large amount of spatial information of crowd distribution, which provides significant priori information for the field of crowd behavior analysis and anomaly detection. Recent work on crowd density estimatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56db12b7e4a22178c6472c34b8af9b2e
https://doi.org/10.1007/s10489-019-01573-7
https://doi.org/10.1007/s10489-019-01573-7
Publikováno v:
Image and Vision Computing. 123:104462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06cb847b319c5eefb3d233fbbb3c2f1b
https://doi.org/10.1016/j.imavis.2022.104462
https://doi.org/10.1016/j.imavis.2022.104462
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030731021
With the development of MOOCs (Massive Open Online Courses), more and more courses could be studied online. Now researchers are showing an increasing interest in the field of MOOCs including dropout prediction, cheating detection and achievement pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f6040d1afcc3793f5edc03ea6bb7990
https://doi.org/10.1007/978-3-030-73103-8_31
https://doi.org/10.1007/978-3-030-73103-8_31
Publikováno v:
Journal of Visual Communication and Image Representation. 85:103508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::381cc4d3ae961cff873b961964c88245
https://doi.org/10.1016/j.jvcir.2022.103508
https://doi.org/10.1016/j.jvcir.2022.103508
Publikováno v:
Image and Vision Computing. 120:104397
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57283176aed11bc6b1a8da1547aaf7fb
https://doi.org/10.1016/j.imavis.2022.104397
https://doi.org/10.1016/j.imavis.2022.104397