Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Kazuhiro Fukui"'
Publikováno v:
Computational Visual Media, Vol 10, Iss 2, Pp 355-373 (2024)
Abstract We present a novel framework for the multi-domain synthesis of artworks from semantic layouts. One of the main limitations of this challenging task is the lack of publicly available segmentation datasets for art synthesis. To address this pr
Externí odkaz:
https://doaj.org/article/8d7cc0fb43cd4444baa04db7fbcb22f5
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100493- (2023)
This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead t
Externí odkaz:
https://doaj.org/article/784dfcf8d3b94c688a5f04841ae757c1
Publikováno v:
IEEE Access, Vol 11, Pp 120402-120418 (2023)
We present a novel framework for simulating time-varying decay effects for natural images. Conventional methods assume the input image includes enough decay information and uses the color or texture information of the decayed regions to transfer its
Externí odkaz:
https://doaj.org/article/07fff4e159f24c02842ba97fbbf79377
Publikováno v:
IEEE Access, Vol 11, Pp 102492-102507 (2023)
In this paper, we propose a new framework for classifying and visualizing malware files using subspace-based methods. The rise of advanced malware poses a significant threat to internet security, increasing the pressure on traditional cybersecurity m
Externí odkaz:
https://doaj.org/article/4c0c1b10659f4e87ade38c0beff7996d
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100407- (2022)
In this paper, we propose Temporal-Stochastic Product Grassmann Manifold (TS-PGM), an efficient method for tensor classification in tasks such as gesture and action recognition. Our approach builds on the idea of representing tensors as points on Pro
Externí odkaz:
https://doaj.org/article/a32de6a51e554e1faf2bdbdfd93dc0cb
Autor:
Bernardo B. Gatto, Lincon S. Souza, Eulanda M. dos Santos, Kazuhiro Fukui, Waldir S. S. Júnior, Kenny V. dos Santos
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-21 (2020)
Abstract This work presents a shallow network based on subspaces with applications in image classification. Recently, shallow networks based on PCA filter banks have been employed to solve many computer vision-related problems including texture class
Externí odkaz:
https://doaj.org/article/9fb951224f5a48aa8832476b8b1166f9
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:1618-1635
This paper reveals the discriminant ability of the orthogonal projection of data onto a generalized difference subspace (GDS) both theoretically and experimentally. In our previous work, we have demonstrated that GDS projection works as the quasi-ort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b982860220b8550066b84b34c6a27611
https://doi.org/10.1109/tpami.2022.3168557
https://doi.org/10.1109/tpami.2022.3168557
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::315bc4fd309136d67b4bbd9efda8e757
https://doi.org/10.1109/icassp49357.2023.10095745
https://doi.org/10.1109/icassp49357.2023.10095745
Publikováno v:
2022 International Workshop on Acoustic Signal Enhancement (IWAENC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eac4b0c92e184c550096bbc4be4b5a2f
https://doi.org/10.1109/iwaenc53105.2022.9914765
https://doi.org/10.1109/iwaenc53105.2022.9914765
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f472f989762fb00693e857e9a8561e3b
https://doi.org/10.1109/cvprw56347.2022.00401
https://doi.org/10.1109/cvprw56347.2022.00401