Výsledky vyhledávání - "Mehmet Bahadir Askin"

Learning based versus heuristic based: A comparative analysis of visual saliency prediction in immersive virtual reality

Autor: Mehmet Bahadir Askin, Ufuk Celikcan

Publikováno v: Computer Animation and Virtual Worlds. 33

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ceb04e63a92a43ddeae426eb6b7d4ce3
https://doi.org/10.1002/cav.2106

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The Impact of Smoking on Clinical Results Following the Rotator Cuff and Biceps Tendon Complex Arthroscopic Surgery

Autor: Gazi Huri, Mehmet Bahadir Askin, Łukasz Paczesny, Alper Yataganbaba, Łukasz Łapaj, Maciej Gagat, Jan Zabrzyński, Dawid Szwedowski

Publikováno v: Journal of Clinical Medicine
Volume 10
Issue 4
Journal of Clinical Medicine, Vol 10, Iss 599, p 599 (2021)

The purpose of this study was to investigate the association of smoking and functional outcomes after arthroscopic treatment of complex shoulder injuries: rotator cuff tears (RCTs) with biceps tendon (LHBT) tears. This retrospective case-control stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97cfb9567c84ef0be4c3dbd74293a407
http://europepmc.org/articles/PMC7915659

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Deep into visual saliency for immersive VR environments rendered in real-time

Autor: Dilara Albayrak, Mehmet Bahadir Askin, Ufuk Celikcan, Tolga K. Çapin

As virtual reality (VR) headsets with head-mounted-displays (HMDs) are becoming more and more prevalent, new research questions are arising. One of the emergent questions is how best to employ visual saliency prediction in VR applications using curre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::832a3cdd68d87652029b32b4317a97a6
https://doi.org/10.1016/j.cag.2020.03.006

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Visual Saliency Prediction in Dynamic Virtual Reality Environments Experienced with Head-Mounted Displays: An Exploratory Study

Autor: Ufuk Celikcan, Dilara Albayrak, Mehmet Bahadir Askin, Tolga K. Çapin

Publikováno v: CW

This work explores a set of well-studied visual saliency features through seven saliency prediction methods with the aim of assessing how applicable they are for estimating visual saliency in dynamic virtual reality (VR) environments that are experie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b91c464f6775f8cc2c9a9848b98005a
https://doi.org/10.1109/cw.2019.00019

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