default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSignal Processing: Image Communication, Volume 69
Volume 69, November 2018
- Yuming Fang, Xiaoqiang Zhang, Nevrez Imamoglu
:
A novel superpixel-based saliency detection model for 360-degree images. 1-7 - Marc Assens, Xavier Giró-i-Nieto, Kevin McGuinness, Noel E. O'Connor:
Scanpath and saliency prediction on 360 degree images. 8-14 - Yucheng Zhu, Guangtao Zhai, Xiongkuo Min:
The prediction of head and eye movement for 360 degree images. 15-25 - Rafael Monroy, Sebastian Lutz, Tejo Chalasani, Aljosa Smolic:
SalNet360: Saliency maps for omni-directional images with CNN. 26-34 - Jesús Gutiérrez, Erwan J. David, Yashas Rai, Patrick Le Callet:
Toolbox and dataset for the development of saliency and scanpath models for omnidirectional/360° still images. 35-42 - Mikhail Startsev, Michael Dorr:
360-aware saliency estimation with conventional image saliency predictors. 43-52 - Federica Battisti, Sara Baldoni, Michele Brizzi, Marco Carli:
A feature-based approach for saliency estimation of omni-directional images. 53-59 - Jing Ling, Kao Zhang, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen:
A saliency prediction model on 360 degree images using color dictionary based sparse representation. 60-68 - Pierre R. Lebreton, Alexander Raake:
GBVS360, BMS360, ProSal: Extending existing saliency prediction models from 2D to omnidirectional images. 69-78
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-08-29 00:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
