Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Wataru SHIMODA"'
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
The major goals of texture research in computer vision are to understand, model, and process texture and ultimately simulate human visual information processing using computer technologies. The field of computer vision has witnessed remarkable advanc
Externí odkaz:
https://doaj.org/article/24056ec7e4484c40a24ce806f999cf4b
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology
Frontiers in Psychology
The major goals of texture research in computer vision are to understand, model, and process texture and ultimately simulate human visual information processing using computer technologies. The field of computer vision has witnessed remarkable advanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebb4949ab351b7d34f474293d67d714d
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.654779/full
https://www.frontiersin.org/articles/10.3389/fpsyg.2021.654779/full
Publikováno v:
Dement Geriatr Cogn Disord
Background/Aims: The ABC Dementia Scale (ABC-DS), a new tool for evaluating dementia, was developed in Japan. The ABC-DS is a comprehensive instrument that can simultaneously evaluate activities of daily living (ADLs), behavioral and psychological sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de6f970d5d70566707041160ecc7215
https://doi.org/10.1159/000513485
https://doi.org/10.1159/000513485
Autor:
Keiji Yanai, Wataru Shimoda
Publikováno v:
IEICE Transactions on Information and Systems. :1230-1239
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459f686538fd983f23da1a5636275e17
https://doi.org/10.1587/transinf.2018cep0001
https://doi.org/10.1587/transinf.2018cep0001
Publikováno v:
ICPR
In recent years, the advances in Generative Adversarial Networks (GANs) have shown impressive results for image generation and translation tasks. In particular, the image-to-image translation is a method of learning mapping from a source domain to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9adfa85205b98a8258ede8af9fa84ef7
https://doi.org/10.1109/icpr48806.2021.9412647
https://doi.org/10.1109/icpr48806.2021.9412647
Editing raster text is a promising but challenging task. We propose to apply text vectorization for the task of raster text editing in display media, such as posters, web pages, or advertisements. In our approach, instead of applying image transforma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dec0d7d577f0c2ba012941e3143bcef
Autor:
Keiji Yanai, Wataru Shimoda
Publikováno v:
ICME
In this paper, we propose a novel method to infer plate regions of food images without any pixel-wise annotation. We synthesize plate segmentation masks using difference of visualization in food image classifiers. To be concrete, we use two types of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec6e92d75d772f222f344455bb21605d
https://doi.org/10.1109/icme46284.2020.9102748
https://doi.org/10.1109/icme46284.2020.9102748
Publikováno v:
MMArt&ACM@ICMR
In this paper, we propose a CNN-feature-based image retrieval method to find the ideal style image that better translates the material of an object. An ideal style image must share semantic information with the content image, while containing distinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af09446a3941d000b322e3d9eaf80137
https://doi.org/10.1145/3379173.3393707
https://doi.org/10.1145/3379173.3393707
Autor:
Wataru Shimoda, Nevrez Imamoglu, Yoshifumi Nishida, Keiji Yanai, Asako Kanezaki, Chi Zhang, Yuming Fang
Publikováno v:
Signal, Image and Video Processing. 12:307-314
Bottom-up and top-down visual cues are two types of information that helps the visual saliency models. These salient cues can be from spatial distributions of the features (space-based saliency) or contextual / task-dependent features (object based s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9206d65796c99f2334abdb3a033b3817
https://doi.org/10.1007/s11760-017-1159-7
https://doi.org/10.1007/s11760-017-1159-7