Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Peiliang Huang"'
Publikováno v:
IEEE Access, Vol 12, Pp 153471-153480 (2024)
Defocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus deb
Externí odkaz:
https://doaj.org/article/76afad098f97421c85b3ca3948a83bfa
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:1439-1453
Face parsing aims to assign pixel-wise semantic labels to different facial components (e.g., hair, brows, and lips) in given face images. However, directly predicting pixel-level labels for each facial component over the whole face image would obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5ab0000196e7ed416868b6885d1b69f
https://doi.org/10.1109/tnnls.2021.3105386
https://doi.org/10.1109/tnnls.2021.3105386
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:339-353
Recently, video object segmentation has received great attention in the computer vision community. Most of the existing methods heavily rely on the pixel-wise human annotations, which are expensive and time-consuming to obtain. To tackle this problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75941b8453a0759130150838e9945dca
https://doi.org/10.1109/jas.2021.1004210
https://doi.org/10.1109/jas.2021.1004210
Publikováno v:
2017 IEEE 9th International Conference on Communication Software and Networks (ICCSN).
Aiming at the problem that traditional 2D Otsu has the large calculation and long computation time, a two-dimensional Otsu image segmentation method based on the cellular genetic algorithm is proposed. By using cellular genetic algorithm to optimize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b363f74756c9f38a165e5e691ff052a
https://doi.org/10.1109/iccsn.2017.8230322
https://doi.org/10.1109/iccsn.2017.8230322
Publikováno v:
2016 3rd International Conference on Information Science & Control Engineering (ICISCE); 2016, p262-266, 5p