Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Luojun Lin"'
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1268-1282 (2024)
Abstract With the growing significance of data privacy protection, Source‐Free Domain Adaptation (SFDA) has gained attention as a research topic that aims to transfer knowledge from a labeled source domain to an unlabeled target domain without acce
Externí odkaz:
https://doaj.org/article/dff4ce55e7c14e318ed3e3d69abdda4b
Publikováno v:
IEEE Access, Vol 8, Pp 305-313 (2020)
Human skeleton contains significant information about actions, therefore, it is quite intuitive to incorporate skeletons in human action recognition. Human skeleton resembles to a graph where body joints and bones mimic to graph nodes and edges. This
Externí odkaz:
https://doaj.org/article/b6aaffc88c6b41a694ecec4917230cbc
Publikováno v:
IEEE Transactions on Affective Computing. 13:122-134
Facial beauty prediction (FBP) aims to assess facial attractiveness with judgements based on human perception. Most of previous methods formulate FBP as a classification, regression or ranking problem of machine learning. However, humans not only rep
Publikováno v:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783031207372
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50128406127b7880f21f25d4e82c3468
https://doi.org/10.1007/978-3-031-20738-9_73
https://doi.org/10.1007/978-3-031-20738-9_73
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
IEEE Transactions on Artificial Intelligence. 2:128-145
Video-based human action recognition is one of the most important and challenging areas of research in the field of computer vision. Human action recognition has found many pragmatic applications in video surveillance, human–computer interaction, e
Publikováno v:
Neurocomputing. 423:389-398
Graph convolutional neural networks have established significant success in solving various machine learning and computer vision problems. For skeleton-based action recognition, graph convolutional neural networks are the most suitable choice since h
Publikováno v:
Scopus-Elsevier
Domain generalization (DG) is a fundamental yet very challenging research topic in machine learning. The existing arts mainly focus on learning domain-invariant features with limited source domains in a static model. Unfortunately, there is a lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3524402cac4ca2dc88967fb58170cc84
Publikováno v:
AAAI
An open research problem in automatic signature verification is the skilled forgery attacks. However, the skilled forgeries are very difficult to acquire for representation learning. To tackle this issue, this paper proposes to learn dynamic signatur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34e79f98b4de51f71a281d513bdebc0
http://arxiv.org/abs/1911.05358
http://arxiv.org/abs/1911.05358
Publikováno v:
IJCAI
Facial beauty prediction (FBP) aims to develop a machine that automatically makes facial attractiveness assessment. To a large extent, the perception of facial beauty for a human is involved with the attributes of facial appearance, which provides so