Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Shuhei Tarashima"'
Publikováno v:
2022 International Electronics Symposium (IES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6729d895ae8b6a7c9e9b47c339660838
https://doi.org/10.1109/ies55876.2022.9888717
https://doi.org/10.1109/ies55876.2022.9888717
Autor:
Shuhei Tarashima
Publikováno v:
Journal of Information Processing. 29:328-335
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f55b56a8aa93c35e992b9a1e29c36a
https://doi.org/10.2197/ipsjjip.29.328
https://doi.org/10.2197/ipsjjip.29.328
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 74:93-101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65b8b1ae2b29319f85b31c368cd20976
https://doi.org/10.3169/itej.74.93
https://doi.org/10.3169/itej.74.93
Autor:
Shuhei Tarashima
Publikováno v:
VISIGRAPP (5: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6ee03d2fa99423d85afde011408ca41
https://doi.org/10.5220/0010343508280835
https://doi.org/10.5220/0010343508280835
Autor:
Shuhei Tarashima
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030414030
ACPR (1)
ACPR (1)
In this paper we propose a novel approach to build a single shot regressor, called SFLNet, that directly predicts a parameter set relating a sports field seen in an input frame to its metric model. This problem is challenging due to the huge intra-cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94546c1f96db1cb9113ab9ee9fd8ada0
https://doi.org/10.1007/978-3-030-41404-7_48
https://doi.org/10.1007/978-3-030-41404-7_48
Publikováno v:
The Journal of The Institute of Image Information and Television Engineers. 72:241-246
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cccb9b80e038c8d4b204461190645399
https://doi.org/10.3169/itej.72.241
https://doi.org/10.3169/itej.72.241
Publikováno v:
IROS
Object proposal that detects candidate bounding boxes of objects in images is an effective way of accelerating object recognition in the robot/computer vision area. We propose an accurate and fast object proposal method using depth images. Existing p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4274ae330e58579abc17567b627c970
https://doi.org/10.1109/iros.2018.8594408
https://doi.org/10.1109/iros.2018.8594408
Publikováno v:
ICIP
Keypoint matching is challenging especially when objects are non-rigid because underlying deformation is unknown and its complexity is varying. Finding visually similar (less deformed) regions between an image pair is an intuitive and promising appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c41093cc1755835f45bd975ac8f7de73
https://doi.org/10.1109/icip.2018.8451016
https://doi.org/10.1109/icip.2018.8451016
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:
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