Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Takayuki Kurozumi"'
Publikováno v:
NTT Technical Review. 20:33-39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ff2085fb0c8554e5445cdcc9bc6407
https://doi.org/10.53829/ntr202211fa4
https://doi.org/10.53829/ntr202211fa4
Publikováno v:
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8621d355763919ff5dfeae70a4e4fcbc
https://doi.org/10.1109/icmew53276.2021.9455957
https://doi.org/10.1109/icmew53276.2021.9455957
Publikováno v:
ICIP
Compressive spectral imaging (CSI) is an emerging technique for acquiring hyperspectral images based on compressed sensing theory. By combining powerful data-driven methods with traditional iterative convex optimization algorithms, we propose a multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac718cdf2a8636c8227024bcde5edf46
https://doi.org/10.1109/icip40778.2020.9190998
https://doi.org/10.1109/icip40778.2020.9190998
Autor:
Ichiro Ide, Takuya Inoue, Hiroshi Murase, Takatsugu Hirayama, Tomokazu Takahashi, Yasutomo Kawanishi, Takayuki Kurozumi, Kunio Kashino, Daisuke Deguchi
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 138:1399-1409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7540781b567cbc4c43ac3b4385c536c
https://doi.org/10.1541/ieejeiss.138.1399
https://doi.org/10.1541/ieejeiss.138.1399
Publikováno v:
The Journal of the Institute of Image Information and Television Engineers. 71:J93-J100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d4f8c522080e3dc7e032d84a7dc74b4
https://doi.org/10.3169/itej.71.j93
https://doi.org/10.3169/itej.71.j93
Autor:
Takahito Kawanishi, Kunio Kashino, Hidehisa Nagano, Tetsuya Kinebuchi, Kaoru Hiramatsu, Xiaomeng Wu, Jun Shimamura, Takayuki Kurozumi, Yoshida Taiga
Publikováno v:
ITE Transactions on Media Technology and Applications. 4:239-250
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c2f882f8daf24c77c4a1b7135ec0aa
https://doi.org/10.3169/mta.4.239
https://doi.org/10.3169/mta.4.239
Publikováno v:
IEICE Transactions on Information and Systems. :2656-2660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c453678f2355aa19395aa59fc3f711e
https://doi.org/10.1587/transinf.2016edl8109
https://doi.org/10.1587/transinf.2016edl8109
Publikováno v:
ICASSP
Neural word vector (NWV) such as word2vec is a powerful text representation tool that can encode extensive semantic information into compact vectors. This ability poses an interesting question in relation to image processing research - Can we learn b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14796bb00ad518c4ac6f93ad3ffdea78
https://doi.org/10.1109/icassp.2017.7952690
https://doi.org/10.1109/icassp.2017.7952690
Publikováno v:
ICPR
We propose a novel method for the recognition of objects that match a given 3D model in large-scale scene point clouds captured in indoor environments with a laser range finder. Since large-scale indoor point clouds are greatly damaged by noise such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fe1fafb7363dedfdad7f051a178f185
https://doi.org/10.1109/icpr.2016.7899720
https://doi.org/10.1109/icpr.2016.7899720
Publikováno v:
ICIP
We tackle the problem of joint discovery and segmentation of the object of interest from noisy image sets collected via web crawling (e.g., Figure 1). Existing methods [1] [2] [3] employ region-wise comparison in order to separate noise images (image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdb45b1b09f3cdbe9ece745d5faf55c7
https://doi.org/10.1109/icip.2016.7532477
https://doi.org/10.1109/icip.2016.7532477