Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Berk Kaya"'
Autor:
Berk Kaya, Zeynep Hazal Soyan, Işılay Aydın, Sanemnaz Yurteri, Zilan Gerilakan, Önder Bulut, Burak Özdeş, Can Elhan, Zeynep Rala, Şafak Birol
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031244568
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e654061ff54f52446b4748d296066d18
https://doi.org/10.1007/978-3-031-24457-5_56
https://doi.org/10.1007/978-3-031-24457-5_56
Inventory and Maintenance Optimization of Conditional Based Maintenance Using Fuzzy Inference System
Autor:
Berk Kaya, Gozde Ulutagay
Publikováno v:
Lecture Notes in Management and Industrial Engineering ISBN: 9783031258466
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4827dbe10dd1c391d0695df0e241920e
https://doi.org/10.1007/978-3-031-25847-3_18
https://doi.org/10.1007/978-3-031-25847-3_18
Publikováno v:
Sustainability; Volume 15; Issue 1; Pages: 762
This paper studies performance comparison of two shuttle-based storage and retrieval system (SBS/RS) configurations developed on flexible or non-flexible travel policies of shuttles in the system. In the non-flexible SBS/RS, a shuttle is dedicated to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ccee0563dc6edb39651be4d2bf7f35
https://dspace.lib.cranfield.ac.uk/handle/1826/18903
https://dspace.lib.cranfield.ac.uk/handle/1826/18903
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
ISBN:978-1-6654-6946-3
ISBN:978-1-6654-6947-0
ISBN:978-1-6654-6946-3
ISBN:978-1-6654-6947-0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d36c2e8fb64325175d1f49362dfe42
https://doi.org/10.1109/cvpr52688.2022.01227
https://doi.org/10.1109/cvpr52688.2022.01227
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Multi-view photometric stereo (MVPS) is a preferred method for detailed and precise 3D acquisition of an object from images. Although popular methods for MVPS can provide outstanding results, they are often complex to execute and limited to isotropic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c39a3b2867175c8c69dd2bcc3cde78ac
Autor:
Asime Bengisu İldeşler, Berk Kaya, Banu Yetkin Ekren, Mehmet Sağer, Mert Paldrak, Melike Akdoğan, Dilara Dural
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030904203
Lecture Notes in Mechanical Engineering
Lecture Notes in Mechanical Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cdf1d63fda872af73bb39814ef1fc42
https://doi.org/10.1007/978-3-030-90421-0_63
https://doi.org/10.1007/978-3-030-90421-0_63
Publikováno v:
CVPR
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper presents an uncalibrated deep neural network framework for the photometric stereo problem. For training models to solve the problem, existing neural network-based methods either require exact light directions or ground-truth surface normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::856b98686f5094de3c77195338f6de09
http://arxiv.org/abs/2012.06777
http://arxiv.org/abs/2012.06777
Autor:
Berk Kaya, Radu Timofte
Publikováno v:
3DV
We present a framework to translate between 2D image views and 3D object shapes. Recent progress in deep learning enabled us to learn structure-aware representations from a scene. However, the existing literature assumes that pairs of images and 3D s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dc6f3c8fb09d248ba4d5efa24af97db
https://doi.org/10.1109/3dv50981.2020.00114
https://doi.org/10.1109/3dv50981.2020.00114