Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Akin Caliskan"'
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b378d898bddd220061f7977f4c6801e
https://doi.org/10.1109/icip42928.2021.9506140
https://doi.org/10.1109/icip42928.2021.9506140
Publikováno v:
CVPR
We present a new end-to-end learning framework to obtain detailed and spatially coherent reconstructions of multiple people from a single image. Existing multi-person methods suffer from two main drawbacks: they are often model-based and therefore ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6229d840318b2122ad8f5c2a5544a7ec
http://arxiv.org/abs/2104.09283
http://arxiv.org/abs/2104.09283
Publikováno v:
CVPR Workshops
We present a novel method to learn temporally consistent 3D reconstruction of clothed people from a monocular video. Recent methods for 3D human reconstruction from monocular video using volumetric, implicit or parametric human shape models, produce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d18423269fd3515259ea129072be72
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695248
ACCV (1)
ACCV (1)
We present a novel method to improve the accuracy of the 3D reconstruction of clothed human shape from a single image. Recent work has introduced volumetric, implicit and model-based shape learning frameworks for reconstruction of objects and people
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfc087ee7b27edc9eefe7af37c5a6e67
https://doi.org/10.1007/978-3-030-69525-5_5
https://doi.org/10.1007/978-3-030-69525-5_5
Publikováno v:
ICCV Workshops
Existing methods for stereo work on narrow baseline image pairs giving limited performance between wide baseline views. This paper proposes a framework to learn and estimate dense stereo for people from wide baseline image pairs. A synthetic people s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bae2807cd9de1ebea89c3440e2d298b
https://doi.org/10.1109/iccvw.2019.00271
https://doi.org/10.1109/iccvw.2019.00271
Publikováno v:
WHISPERS
Previously proposed hyperspectral image registration methods mostly focus on the registration of the images including overlapping bands in VNIR and SWIR range. In contrary to previous methods, we investigate the registration of hyperspectral images w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3141bc182407c2617d326773f9bc664f
https://doi.org/10.1109/whispers.2016.8071708
https://doi.org/10.1109/whispers.2016.8071708
Publikováno v:
IGARSS
Using the spectral signature of a target by means of matching the signature with the pixels of an acquired hyperspectral image has been proven as an effective way of classifying hyperspectral pixels in most of the proposed methods in hyperspectral im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e690e1a36e71da52624b1d68cc46eaef
https://doi.org/10.1109/igarss.2016.7730828
https://doi.org/10.1109/igarss.2016.7730828
Autor:
Acar Erdinc, Emrecan Bati, Davut Cesmeci, Alper Koz, Akin Caliskan, Selim Aksoy, A. Aydin Alatan, Sarp Erturk
Publikováno v:
SIU
Conference name: 23rd Signal Processing and Communications Applications Conference, SIU 2015
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cef64c6b73ee2ceac5ce40afcc7bb4b
https://doi.org/10.1109/siu.2015.7130428
https://doi.org/10.1109/siu.2015.7130428