nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A feature-based approach for saliency estimation of omni-directional images
|
Battisti, Federica |
|
2018 |
69 |
C |
p. 53-59 |
artikel |
2 |
A novel superpixel-based saliency detection model for 360-degree images
|
Fang, Yuming |
|
2018 |
69 |
C |
p. 1-7 |
artikel |
3 |
A saliency prediction model on 360 degree images using color dictionary based sparse representation
|
Ling, Jing |
|
2018 |
69 |
C |
p. 60-68 |
artikel |
4 |
360-aware saliency estimation with conventional image saliency predictors
|
Startsev, Mikhail |
|
2018 |
69 |
C |
p. 43-52 |
artikel |
5 |
Editorial Board
|
|
|
2018 |
69 |
C |
p. ii |
artikel |
6 |
GBVS360, BMS360, ProSal: Extending existing saliency prediction models from 2D to omnidirectional images
|
Lebreton, Pierre |
|
2018 |
69 |
C |
p. 69-78 |
artikel |
7 |
SalNet360: Saliency maps for omni-directional images with CNN
|
Monroy, Rafael |
|
2018 |
69 |
C |
p. 26-34 |
artikel |
8 |
Scanpath and saliency prediction on 360 degree images
|
Assens, Marc |
|
2018 |
69 |
C |
p. 8-14 |
artikel |
9 |
The prediction of head and eye movement for 360 degree images
|
Zhu, Yucheng |
|
2018 |
69 |
C |
p. 15-25 |
artikel |
10 |
Toolbox and dataset for the development of saliency and scanpath models for omnidirectional/360° still images
|
Gutiérrez, Jesús |
|
2018 |
69 |
C |
p. 35-42 |
artikel |