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AuThoring tooL for indoor Augmented and dimiNished realiTy experIenceS

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

AI-based indoor scene understanding v1

This deliverable will include the initial version of the different methods and algorithms developed and implemented within this WP.

AI-based indoor scene understanding v2

This deliverable will include the final version of the different methods and algorithms developed and implemented within this WP.

Contributions to the XR4ALL platform

Demonstrators and components that are provided to the XR4ALL platform.

Validation plan v1

Initial version of the validation plan defining user groups, data sets and evaluation procedures and metrics for function testing and UX evaluation.

Intermediate outreach report

Report on communication and dissemination activities, setup of collaboration with XR4ALL and updated plans for outreach activities.

Validation plan v2

Revised version of the validation plan based on the insights from the first evaluation phase

Data management plan

The data management plan will define how the various kinds of data collected and generated in the project will be handled and stored. It also sets the requirements for the data store in terms of data security and privacy protection. It will be maintained as a living document.

Publications

ATLANTIS - Indoor Planning with Augmented and Diminished Reality

Auteurs: Werner Bailer, Georg Thallinger, Vasileios Gkitsas, Petros Drakoulis, Antonis Karakottas, Dimitrios Pattas, Dimitris Zarpalas, Brita Piovesan, Robert Huemer, Richard Whitehand, Per Ström
Publié dans: European Workshop on Visual Information Processing, 2022
Éditeur: n/a

A benchmark with decomposed distribution shifts for 360 monocular depth estimation

Auteurs: Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
Publié dans: NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, 2021
Éditeur: n/a

An AI-based system offering automatic DR-enhanced AR for indoor scenes

Auteurs: Georgios Albanis, Vasileios Gkitsas, Nikolaos Zioulis, Stefanie Onsori-Wechtitsch, Richard Whitehand, Per Ström, Dimitrios Zarpalas
Publié dans: 6th International Conference on Artificial Intelligence and Virtual Reality, 2022
Éditeur: AIVR

Towards Full-to-Empty Room Generation with Structure-aware Feature Encoding and Soft Semantic Region-adaptive Normalization

Auteurs: Vasileios Gkitsas ; Nikolaos Zioulis ; Vladimiros Sterzentsenko ; Alexandros Doumanoglou and Dimitrios Zarpalas
Publié dans: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 2022
Éditeur: SciTe Press
DOI: 10.5220/0010833100003124

Efficient Instance Segmentation of Panoramic Images of Indoor Scenes

Auteurs: Werner Bailer; Hannes Fassold
Publié dans: Numéro 1, 2022
Éditeur: Verlag der TU Graz
DOI: 10.5281/zenodo.6077859

Indoor Planning Using Diminished and Augmented Reality

Auteurs: Werner Bailer, Hannes Fassold, Vasileios Gkitsas, Petros Drakoulis, Dimitrios Zarpalas, Robert Huemer
Publié dans: Proceedings of XR-WALC Workshop at ACM IMX 2022, 2022
Éditeur: n/a

Monocular spherical depth estimation with explicitly connected weak layout cues

Auteurs: Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
Publié dans: ISPRS Journal of Photogrammetry and Remote Sensing, Numéro 183, 2022, ISSN 0924-2716
Éditeur: Elsevier BV
DOI: 10.1016/j.isprsjprs.2021.10.016

Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture

Auteurs: Nikolaos Zioulis, Georgios Albanis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
Publié dans: IEEE Access, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3175864

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